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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. 7-RES-JB
    6. 13411
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    alis
    -0.84
    anium
    -0.80
    anski
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    rons
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    ifts
    -0.77
    ory
    -0.77
    ypes
    -0.75
    chenko
    -0.74
    esi
    -0.73
    orical
    -0.72
    POSITIVE LOGITS
    cffff
    1.10
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    âĢ¢âĢ¢âĢ¢âĢ¢
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    ————
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    0.71
     +---
    0.71
    âĢ¢âĢ¢
    0.71
     grep
    0.71
    Activations Density 0.021%

    No Known Activations