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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. 4-RES-JB
    11. 11116
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    Explanations

    references to documentaries

    oai_token-act-pair · gpt-3.5-turbo

    mentions of documentaries

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

    No Comments

    Negative Logits
    cffff
    -0.90
    hare
    -0.75
    ingers
    -0.70
    usable
    -0.69
    hr
    -0.68
    Commerce
    -0.67
    cream
    -0.67
    sembly
    -0.66
    appy
    -0.63
    hap
    -0.63
    POSITIVE LOGITS
     filmmaker
    1.10
     documentary
    1.06
     filmmaking
    1.01
     filmmakers
    0.96
     film
    0.94
     documentaries
    0.90
    Film
    0.83
    arily
    0.83
     films
    0.82
     Surviv
    0.80
    Activations Density 0.020%

    No Known Activations