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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. 4-RES-JB
    11. 2076
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    Explanations

    mentions of large monetary quantities

    oai_token-act-pair · gpt-3.5-turbo

    references to large monetary amounts

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

    No Comments

    Negative Logits
    bable
    -0.71
    ¶æ
    -0.69
     ANGEL
    -0.69
     Expression
    -0.65
     Fen
    -0.65
     SX
    -0.64
    may
    -0.64
    drawn
    -0.64
    made
    -0.63
    chester
    -0.63
    POSITIVE LOGITS
     dollars
    1.08
    dollar
    0.94
     dollar
    0.89
     trillion
    0.88
    undo
    0.87
    ulously
    0.84
    ython
    0.82
     gallons
    0.81
    abyte
    0.80
     bailout
    0.79
    Activations Density 0.013%

    No Known Activations