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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. 3-RES-JB
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    Explanations

    references to the World Health Organization (WHO)

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the World Health Organization (WHO) and related health topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rations
    -0.73
     Awakening
    -0.70
    standing
    -0.67
     Sage
    -0.65
    ãĤª
    -0.65
    ãĥł
    -0.64
    quire
    -0.63
    bedroom
    -0.62
     Samurai
    -0.62
    steam
    -0.62
    POSITIVE LOGITS
    WHO
    1.14
    ICH
    0.87
    OSH
    0.83
    MAP
    0.82
     WHO
    0.79
    HL
    0.78
    IS
    0.77
    ICA
    0.77
    icz
    0.74
    afety
    0.74
    Activations Density 0.008%

    No Known Activations