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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21885
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    Explanations

    discussions related to holding law enforcement accountable

    oai_token-act-pair · gpt-3.5-turbo

    references to admissions or revelations in a narrative context

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ordable
    -0.79
     ÂŃ
    -0.78
     affordability
    -0.73
    WASHINGTON
    -0.72
    rastructure
    -0.72
    terday
    -0.72
    Canada
    -0.71
     Marketplace
    -0.71
    Federal
    -0.70
    markets
    -0.69
    POSITIVE LOGITS
     characters
    0.95
     resemb
    0.94
     Characters
    0.92
     trope
    0.91
     canon
    0.90
    Trivia
    0.87
    canon
    0.87
     implied
    0.85
     backstory
    0.84
     narration
    0.84
    Activations Density 1.559%

    No Known Activations