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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. 11-RES-JB
    11. 2726
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    INDEX
    Explanations

    proper nouns and specific terms

    oai_token-act-pair · gpt-3.5-turbo

    names of famous films and movie-related themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    )."
    -0.82
    ."[
    -0.66
    '."
    -0.65
    .).
    -0.64
    .")
    -0.63
     respectively
    -0.62
    .''
    -0.62
    ,...
    -0.62
    .'"
    -0.61
    .""
    -0.61
    POSITIVE LOGITS
    !:
    0.85
     âĵĺ
    0.76
     Languages
    0.73
    ibliography
    0.73
    mbuds
    0.72
     Releases
    0.72
     Functions
    0.71
     Parables
    0.70
    cellaneous
    0.70
     References
    0.69
    Activations Density 0.811%

    No Known Activations