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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. 14035
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    Explanations

    mentions of large quantities or values, specifically in the trillions range

    oai_token-act-pair · gpt-3.5-turbo

    references to large monetary values, particularly in trillions

    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
     ANGEL
    -0.67
     Manifest
    -0.65
    ¶æ
    -0.65
     Expression
    -0.65
     Gentle
    -0.63
    chester
    -0.62
    bable
    -0.62
     Indie
    -0.61
    drawn
    -0.61
    supp
    -0.61
    POSITIVE LOGITS
     dollars
    0.99
    undo
    0.95
    dollar
    0.94
    ython
    0.88
     trillion
    0.87
     dollar
    0.85
    assets
    0.83
    angled
    0.82
    abyte
    0.81
    ethy
    0.80
    Activations Density 0.034%

    No Known Activations