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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. 8650
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    Explanations

    references to large amounts of money

    oai_token-act-pair · gpt-3.5-turbo

    financial figures and statistics

    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
     scrut
    -0.68
    know
    -0.64
    beh
    -0.63
    anything
    -0.62
    ¯
    -0.62
     behav
    -0.61
     acknow
    -0.61
    ding
    -0.60
    igo
    -0.60
    hetti
    -0.60
    POSITIVE LOGITS
     Estimated
    0.88
     avg
    0.79
     total
    0.76
     Sold
    0.76
     SOLD
    0.75
     Converted
    0.74
     Built
    0.73
     Total
    0.73
     Highest
    0.73
    Percent
    0.73
    Activations Density 0.314%

    No Known Activations