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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. 10-RES-JB
    11. 6431
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    Explanations

    adjectives and concepts related to the quality or condition of something

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to evaluation and judgment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    .''.
    -0.91
    .}
    -0.86
    .?
    -0.84
    .''
    -0.84
    $.
    -0.82
    `.
    -0.82
    .'
    -0.78
    "!
    -0.77
    .�
    -0.75
    .]
    -0.74
    POSITIVE LOGITS
    ,[
    0.91
     (),
    0.81
     technically
    0.79
     domestically
    0.75
     outright
    0.73
     anecd
    0.73
     nowadays
    0.70
     due
    0.68
     individually
    0.68
     offensively
    0.67
    Activations Density 0.525%

    No Known Activations