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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. 2895
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    Explanations

    names of family members

    oai_token-act-pair · gpt-3.5-turbo

    repeated instances of the comma punctuation mark

    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
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    No Comments

    Negative Logits
    obin
    -0.85
    ources
    -0.64
    pected
    -0.62
    verage
    -0.62
    OME
    -0.62
    lust
    -0.61
     coverage
    -0.60
    actual
    -0.60
    norm
    -0.59
    ocial
    -0.59
    POSITIVE LOGITS
     etc
    0.83
     aka
    0.73
     Weld
    0.67
     Kinnikuman
    0.66
     Kurd
    0.63
     whose
    0.63
    FontSize
    0.63
     Hare
    0.63
     looms
    0.62
    alias
    0.62
    Activations Density 0.427%

    No Known Activations