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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. 18801
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    INDEX
    Explanations

    mentions of favorite films and top film lists

    oai_token-act-pair · gpt-3.5-turbo

    mentions of films and film-related terms

    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
     elite
    -0.85
     conventional
    -0.83
     average
    -0.82
     ser
    -0.80
     card
    -0.79
     flaw
    -0.79
     typical
    -0.79
     trench
    -0.79
     war
    -0.78
     intensive
    -0.78
    POSITIVE LOGITS
     Films
    2.18
     Designs
    1.95
     Products
    1.88
     Properties
    1.86
     Publications
    1.78
     Networks
    1.75
     Stores
    1.73
     Farms
    1.68
     Investments
    1.68
     Devices
    1.67
    Activations Density 0.068%

    No Known Activations