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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. 11233
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    Explanations

    quotes enclosed in quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    quotations in the text

    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
    stant
    -0.76
    Ļ½
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    tein
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    omorphic
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    icular
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    ulic
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    paren
    -0.66
    ãĥ´ãĤ¡
    -0.65
    ¾
    -0.64
    vironment
    -0.64
    POSITIVE LOGITS
    /"
    0.95
     revealing
    0.63
    sic
    0.62
     whereby
    0.62
     inhib
    0.59
     remark
    0.59
     Dickinson
    0.57
     AAP
    0.57
    Reply
    0.57
     destro
    0.55
    Activations Density 0.087%

    No Known Activations