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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. 12-RES-JB
    11. 3390
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    INDEX
    Explanations

    statements related to regulatory agencies, safety, and drugs

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to food and drug safety regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Muk
    -0.62
     Louie
    -0.59
     Gund
    -0.59
     Mrs
    -0.58
    theless
    -0.57
     Wink
    -0.56
     Bach
    -0.56
     Schwarzenegger
    -0.54
    unda
    -0.53
     chuck
    -0.53
    POSITIVE LOGITS
    borne
    0.97
    safety
    0.83
     Sovere
    0.81
     Babe
    0.80
     Safety
    0.75
    ilee
    0.74
     Pyramid
    0.73
    service
    0.73
     stamp
    0.72
     Inspection
    0.72
    Activations Density 0.039%

    No Known Activations