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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. 3-RES-JB
    11. 11962
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    Explanations

    mentions of events or entities related to comic conventions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of comic conventions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    param
    -0.72
    obi
    -0.70
    ................................................................
    -0.66
     resp
    -0.65
     methodological
    -0.63
    onyms
    -0.62
     shaky
    -0.59
     flawed
    -0.58
    cknowled
    -0.58
    requ
    -0.57
    POSITIVE LOGITS
     Expo
    1.00
    INESS
    0.90
     Insider
    0.82
    ivals
    0.80
     Booth
    0.80
    Fest
    0.79
     Royale
    0.78
     Comic
    0.78
     Celebration
    0.78
     Disneyland
    0.77
    Activations Density 0.059%

    No Known Activations