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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. 13520
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    Explanations

    statistics or survey results

    oai_token-act-pair · gpt-3.5-turbo

    phrases that quantify statistical data or ratios in various contexts

    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
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    No Comments

    Negative Logits
     tyr
    -0.78
     ze
    -0.65
     capt
    -0.57
    ahime
    -0.57
    BLE
    -0.56
    useum
    -0.55
     groom
    -0.55
     arsen
    -0.54
     Trailer
    -0.53
     Age
    -0.52
    POSITIVE LOGITS
    lier
    1.00
    liest
    0.94
    ranked
    0.92
    number
    0.89
    worn
    0.84
    dated
    0.84
    casts
    0.82
    ranking
    0.81
    fitted
    0.79
    paces
    0.79
    Activations Density 0.038%

    No Known Activations