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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. 5404
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    topics related to health risks and diseases

    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
    soType
    -0.66
    Asset
    -0.60
     McMaster
    -0.60
     Saban
    -0.59
     insulated
    -0.56
     Phillips
    -0.55
    ãĤ´ãĥ³
    -0.54
     Wasserman
    -0.53
     Rosenstein
    -0.53
     Giuliani
    -0.52
    POSITIVE LOGITS
     milestones
    0.73
    appiness
    0.63
    vable
    0.63
     climax
    0.59
     scenes
    0.58
    stories
    0.57
     scenarios
    0.56
    Ń·
    0.56
     breakout
    0.56
    reetings
    0.55
    Activations Density 1.751%

    No Known Activations