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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. 12810
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    Explanations

    mentions of technical details or instructions, likely related to software development or technology

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically commas

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ument
    -0.76
    pires
    -0.73
    uscript
    -0.66
    enance
    -0.65
    )—
    -0.65
    Å«
    -0.64
    ŃĶ
    -0.63
    ?'"
    -0.63
    ensical
    -0.62
    Newsletter
    -0.62
    POSITIVE LOGITS
     namely
    1.23
     ie
    1.14
     BUT
    1.14
     whereas
    1.08
     although
    1.07
     haha
    1.03
     but
    1.03
     hence
    1.02
     etc
    0.98
    BUT
    0.98
    Activations Density 0.505%

    No Known Activations