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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 6423
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    Explanations

    mentions or references to specific names, likely related to news or media coverage

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ISA
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    SPA
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    acebook
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     srfAttach
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    Applications
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    SAY
    -0.63
    MAP
    -0.61
    Ü
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    leness
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    POSITIVE LOGITS
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    1.05
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    0.70
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    henko
    0.67
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    0.67
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    0.67
    opol
    0.66
    Activations Density 0.302%

    No Known Activations