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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. 9-RES-JB
    11. 10298
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    Explanations

    references to the entertainment industry, specifically Hollywood

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Hollywood"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arity
    -0.85
    cific
    -0.80
    ktop
    -0.79
    İĭ
    -0.79
    unin
    -0.78
    avez
    -0.75
    onian
    -0.74
    etheless
    -0.72
    uter
    -0.71
    aternity
    -0.71
    POSITIVE LOGITS
     Reporter
    1.10
     Hills
    1.05
     Studios
    0.94
     studios
    0.92
     Boulevard
    0.91
     Pictures
    0.89
     Hollywood
    0.89
     blockbuster
    0.88
     movies
    0.88
     celebrities
    0.84
    Activations Density 0.039%

    No Known Activations