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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. 1-RES-JB
    11. 999
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    Explanations

    phrases related to rodents and nicotine

    oai_token-act-pair · gpt-3.5-turbo

    mentions of rodents and nicotine-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Nanto
    -0.83
     juices
    -0.74
     Matter
    -0.69
    ãĥ©ãĥ³
    -0.68
     Elm
    -0.65
     Vaj
    -0.63
    ilant
    -0.62
     Moines
    -0.62
    EH
    -0.60
    ergus
    -0.59
    POSITIVE LOGITS
    shared
    0.70
     Hebdo
    0.69
    */
    0.69
    itability
    0.66
     */
    0.64
    scar
    0.63
    aval
    0.62
    iannopoulos
    0.60
    vana
    0.60
    mable
    0.59
    Activations Density 0.001%

    No Known Activations