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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. 9-RES-JB
    11. 5575
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    Explanations

    names related to people or organizations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "anc"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     makeup
    -0.66
     Gors
    -0.66
    åĤ
    -0.66
    nings
    -0.65
    ĪĴ
    -0.63
     Fraz
    -0.62
    growth
    -0.62
     belt
    -0.61
    Downloadha
    -0.59
    ãĢIJ
    -0.59
    POSITIVE LOGITS
    ourt
    1.09
    eteria
    1.01
    ipation
    0.98
    ultural
    0.95
    olor
    0.94
    orp
    0.92
    ounter
    0.92
    henko
    0.92
    ounters
    0.91
    iless
    0.88
    Activations Density 0.038%

    No Known Activations