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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. 2-RES-JB
    11. 14870
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    Explanations

    phrases related to cinemas or movies

    oai_token-act-pair · gpt-3.5-turbo

    references to cinema and films

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lies
    -0.77
    ciating
    -0.67
    essee
    -0.67
    hips
    -0.65
    lying
    -0.64
    hee
    -0.64
    lein
    -0.63
    RESULTS
    -0.63
    hip
    -0.62
    wid
    -0.61
    POSITIVE LOGITS
     cinem
    1.07
     cinema
    0.96
     Cinema
    0.96
    ovies
    0.90
     Cinem
    0.90
    atography
    0.85
     marqu
    0.84
    goers
    0.80
    movie
    0.80
     Noir
    0.78
    Activations Density 0.016%

    No Known Activations