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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. 9-RES-JB
    11. 3468
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    Explanations

    notifications or messages containing specific instructions or reports

    oai_token-act-pair · gpt-3.5-turbo

    statements or notifications about events or communications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     contemporaries
    -0.74
     grin
    -0.72
     metaphors
    -0.69
    aughs
    -0.68
     bystanders
    -0.68
     bystand
    -0.65
     shrug
    -0.65
     rhet
    -0.65
    uitive
    -0.65
     inspire
    -0.63
    POSITIVE LOGITS
     tresp
    0.87
     imminent
    0.84
     SOLD
    0.83
     pending
    0.78
     ${
    0.75
     urgent
    0.75
    —"
    0.73
     shipment
    0.72
     unauthorized
    0.72
    elcome
    0.71
    Activations Density 0.637%

    No Known Activations