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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. 11-RES-JB
    11. 14354
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    Explanations

    sentences starting with the word "It" or "He" followed by descriptions or opinions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating notable attributes or descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    .</
    -0.94
    ãĢij
    -0.87
    .<
    -0.83
    .}
    -0.81
    .*
    -0.80
    .).
    -0.78
    ADVERTISEMENT
    -0.77
    .(
    -0.76
    ãĢĤ
    -0.75
    >.
    -0.75
    POSITIVE LOGITS
     absolutely
    0.99
     definitely
    0.99
    initely
    0.90
     [
    0.88
    absolutely
    0.86
     certainly
    0.82
     really
    0.82
     tremendously
    0.80
    Absolutely
    0.78
     basically
    0.77
    Activations Density 0.537%

    No Known Activations