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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
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    INDEX
    Explanations

    mentions of the word "film" or related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to films

    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
    Lv
    -0.69
    Admin
    -0.68
    ledge
    -0.66
    ockets
    -0.66
    ifts
    -0.65
    entry
    -0.65
    ingham
    -0.63
     Preferences
    -0.62
    inus
    -0.62
    emon
    -0.62
    POSITIVE LOGITS
     film
    3.64
     Film
    2.77
     films
    2.74
    film
    2.65
    Film
    2.63
     movie
    2.39
     filmmakers
    2.19
     filmmaking
    2.16
     Films
    2.14
     filmmaker
    2.04
    Activations Density 0.027%

    No Known Activations