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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. 24332
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    Explanations

    proper nouns related to news events and photography

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names and titles related to people and organizations

    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
    !),
    -0.73
     tending
    -0.60
    !).
    -0.60
    conservancy
    -0.59
    adapt
    -0.57
     spons
    -0.57
    !",
    -0.57
    .ãĢį
    -0.56
     remem
    -0.56
     psychiat
    -0.56
    POSITIVE LOGITS
     IMAGES
    0.80
     Dug
    0.76
     RTX
    0.74
     TP
    0.74
    <|endoftext|>
    0.74
     Sending
    0.70
     Buy
    0.70
     Protesters
    0.68
     UNITED
    0.66
    ↵
    0.64
    Activations Density 0.032%

    No Known Activations