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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. 4-RES-JB
    11. 2978
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    Explanations

    references to the word "documents."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of official or legal documents

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

    No Comments

    Negative Logits
    oker
    -0.70
    Stars
    -0.69
    Interstitial
    -0.66
    olean
    -0.64
    ichita
    -0.64
    awar
    -0.63
    ategory
    -0.63
     Galile
    -0.63
    Ĥ¬
    -0.63
    skill
    -0.62
    POSITIVE LOGITS
     documents
    1.07
     document
    0.89
     detailing
    0.88
     evid
    0.84
     outlining
    0.84
     documenting
    0.83
     Documents
    0.80
     pertaining
    0.80
    arians
    0.79
     dumps
    0.77
    Activations Density 0.018%

    No Known Activations