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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. 0-RES-JB
    11. 22413
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    Explanations

    words or phrases related to productivity or creation

    oai_token-act-pair · gpt-3.5-turbo

    references to "output" across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kat
    -0.72
    patrick
    -0.68
    Attorney
    -0.66
     Malik
    -0.65
     Petition
    -0.65
     sponsored
    -0.63
     Cassidy
    -0.63
    sponsored
    -0.62
    ublic
    -0.62
    chin
    -0.62
    POSITIVE LOGITS
     output
    3.73
     outputs
    2.87
     Output
    2.70
    output
    2.57
    Output
    2.40
     input
    1.84
     inputs
    1.61
    input
    1.35
     production
    1.33
     exports
    1.30
    Activations Density 0.013%

    No Known Activations