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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. 5256
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    INDEX
    Explanations

    references to specific movies or TV shows

    oai_token-act-pair · gpt-3.5-turbo

    titles of movies and entertainment works

    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
    antly
    -0.76
     captcha
    -0.75
    compliance
    -0.66
    opausal
    -0.66
    terday
    -0.65
    abwe
    -0.65
     mitigation
    -0.64
    ierrez
    -0.64
     sensit
    -0.63
    é¾įå¥ij士
    -0.63
    POSITIVE LOGITS
     Angels
    0.97
     Trilogy
    0.90
     Awakens
    0.88
     soundtrack
    0.84
     Chronicle
    0.80
     Thing
    0.79
     Reborn
    0.78
     Tribunal
    0.78
     Boys
    0.77
     Herald
    0.77
    Activations Density 0.533%

    No Known Activations