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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. 6134
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    Explanations

    references to documentaries

    oai_token-act-pair · gpt-3.5-turbo

    references to documentaries

    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
    cffff
    -0.98
    unin
    -0.75
    efficients
    -0.73
    hare
    -0.72
    cream
    -0.71
    sembly
    -0.70
    otle
    -0.66
    hap
    -0.65
    aples
    -0.65
    etsy
    -0.65
    POSITIVE LOGITS
     filmmaker
    1.37
     film
    1.22
     filmmakers
    1.19
     documentary
    1.15
     filmmaking
    1.13
     films
    1.02
    film
    0.99
     aired
    0.97
     documentaries
    0.95
     filmed
    0.92
    Activations Density 0.111%

    No Known Activations