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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. 1-RES-JB
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    Explanations

    mentions of large groups of people in a public setting

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "crowd" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IRO
    -0.73
    nia
    -0.70
    _-
    -0.65
    CE
    -0.65
    à©
    -0.64
    ces
    -0.63
    nesota
    -0.63
    missions
    -0.61
    apple
    -0.61
    cer
    -0.61
    POSITIVE LOGITS
     crowds
    1.37
    ourced
    1.35
    ourcing
    1.28
     crowd
    0.95
    rowd
    0.94
     Crowd
    0.94
    ources
    0.91
     mobs
    0.78
     audiences
    0.77
    naires
    0.77
    Activations Density 0.007%

    No Known Activations