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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. 15769
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    phrases related to historical records or past events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to historical narratives or accounts

    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
    ateurs
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    orney
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    iffs
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    agraph
    -0.72
    ando
    -0.69
    achment
    -0.67
    mented
    -0.67
    POSITIVE LOGITS
     history
    0.76
     intertwined
    0.75
     record
    0.72
    ĸļ
    0.71
     Preservation
    0.70
     Revision
    0.69
     Timeline
    0.68
     Lith
    0.66
     KH
    0.66
     CTR
    0.65
    Activations Density 0.030%

    No Known Activations