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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. 6453
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    INDEX
    Explanations

    proper nouns related to entertainment, such as movie franchises, characters, and studios

    oai_token-act-pair · gpt-3.5-turbo

    references to film franchises and associated key figures or studios

    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
     trough
    -0.77
     PCB
    -0.76
     CPC
    -0.76
     electroly
    -0.71
     rout
    -0.68
    Catal
    -0.65
     Eston
    -0.65
     solder
    -0.64
    hops
    -0.64
     begg
    -0.64
    POSITIVE LOGITS
     Films
    1.20
    ovies
    1.19
    Film
    1.17
     Movies
    1.16
     movies
    1.14
    Movie
    1.13
    movie
    1.13
    flix
    1.11
     films
    1.08
     filmmakers
    1.07
    Activations Density 0.246%

    No Known Activations