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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. 19659
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    INDEX
    Explanations

    references to the film industry or filmmaking

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "film" and its variations

    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
    bley
    -0.76
    cffff
    -0.74
    nyder
    -0.72
    imov
    -0.71
    ppard
    -0.68
     medically
    -0.68
    BY
    -0.66
    rian
    -0.64
    WOR
    -0.63
    ojure
    -0.62
    POSITIVE LOGITS
    film
    0.97
    ography
    0.95
    Film
    0.95
    ographer
    0.89
     films
    0.88
    ographies
    0.88
    ographers
    0.87
     film
    0.87
     Film
    0.83
    goers
    0.81
    Activations Density 0.039%

    No Known Activations