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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. 9760
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    Explanations

    mentions of safety-related terms and drug approvals

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the safety and approval of drugs and pesticides

    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
     Cantor
    -0.82
    issance
    -0.80
     gracious
    -0.79
     Apostles
    -0.75
     curl
    -0.74
     Braves
    -0.73
     {\
    -0.70
     Shards
    -0.69
     Priebus
    -0.69
    lections
    -0.69
    POSITIVE LOGITS
     chemicals
    1.05
     FDA
    1.04
     pharmaceutical
    1.03
     carcin
    1.02
     medicines
    1.00
     additives
    0.99
     doping
    0.99
     glyphosate
    0.97
     contamin
    0.97
     genetically
    0.96
    Activations Density 0.303%

    No Known Activations