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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. 8-RES-JB
    11. 24079
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    ellipses or omissions in text, suggesting pauses or incomplete thoughts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ãĥ«
    -0.78
    osaurus
    -0.68
    »Ĵ
    -0.67
     ring
    -0.67
    ãģ£
    -0.67
     charms
    -0.67
    ãĥ¼
    -0.67
     quir
    -0.67
    appa
    -0.67
     liner
    -0.67
    POSITIVE LOGITS
    among
    0.87
    [
    0.87
    "[
    0.87
    these
    0.85
    iculty
    0.85
     ."
    0.84
    Whoever
    0.83
     ,"
    0.83
    bringing
    0.82
    there
    0.82
    Activations Density 0.043%

    No Known Activations