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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. 2096
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    INDEX
    Explanations

    adjectives describing the quality of work or storytelling

    oai_token-act-pair · gpt-3.5-turbo

    elements of artistic and production quality in films

    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
     Regulations
    -0.71
    Federal
    -0.70
     expired
    -0.69
     Payments
    -0.67
     Government
    -0.65
    ANN
    -0.64
    odan
    -0.64
     ACS
    -0.63
    asus
    -0.62
     contacts
    -0.61
    POSITIVE LOGITS
     lyr
    1.31
     storytelling
    1.21
     depicting
    1.13
     juxtap
    1.08
     trope
    1.07
     cinem
    1.07
     cinematic
    1.06
     satir
    1.04
     portraying
    1.04
     visually
    1.04
    Activations Density 0.405%

    No Known Activations