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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 397
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    INDEX
    Explanations

    actions or events described in a narrative format

    oai_token-act-pair · gpt-3.5-turbo

    actions involving physical confrontation or interaction

    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
    Not in Any Lists

    No Comments

    Negative Logits
     precedent
    -0.73
     Prevention
    -0.68
    reviewed
    -0.66
    é¾įå¥ij士
    -0.65
     Cards
    -0.65
    payers
    -0.63
     Coun
    -0.62
     differently
    -0.62
     Prediction
    -0.61
    since
    -0.61
    POSITIVE LOGITS
     exited
    0.80
     unfold
    0.80
     gripped
    0.78
    aped
    0.77
     unfolded
    0.76
     clut
    0.76
     approached
    0.76
     exclaim
    0.75
     strut
    0.74
     engulfed
    0.73
    Activations Density 0.199%

    No Known Activations