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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. 8844
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    Explanations

    proper nouns related to famous fictional characters or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to characters or elements from animated films, particularly involving clowns and ducks

    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
     toget
    -0.76
    izabeth
    -0.76
    livion
    -0.73
    ority
    -0.71
    ournal
    -0.70
     amplify
    -0.69
    etsy
    -0.69
    ounter
    -0.69
     confir
    -0.69
    ilty
    -0.68
    POSITIVE LOGITS
     Strip
    0.94
     Pages
    0.91
     Line
    0.90
     Boat
    0.90
     Bowl
    0.89
     Quarter
    0.89
     Crew
    0.89
     Mile
    0.88
     Hands
    0.88
    Nation
    0.88
    Activations Density 0.038%

    No Known Activations