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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    references to the word "Film"

    oai_token-act-pair · gpt-3.5-turbo

    references to "Film" in various contexts

    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
    ockets
    -0.68
     wolves
    -0.67
     hypert
    -0.64
     fetch
    -0.62
     bip
    -0.61
     awoken
    -0.59
     sorts
    -0.59
    pool
    -0.59
    rs
    -0.59
     err
    -0.58
    POSITIVE LOGITS
     Film
    3.80
    Film
    2.87
     Films
    2.71
    film
    2.30
     film
    2.20
     Cinema
    2.10
     Movie
    1.91
     Movies
    1.88
     films
    1.85
     Cinem
    1.79
    Activations Density 0.007%

    No Known Activations