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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. 9-RES-JB
    11. 24021
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    Explanations

    terms related to movie theaters or cinema

    oai_token-act-pair · gpt-3.5-turbo

    mentions of cinemas and theaters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    doms
    -0.80
    nesses
    -0.72
    pages
    -0.68
    laus
    -0.68
    coat
    -0.67
    theless
    -0.65
    unin
    -0.64
    ther
    -0.63
    itability
    -0.63
    abee
    -0.63
    POSITIVE LOGITS
    goers
    1.04
    ovies
    0.99
     theaters
    0.97
     marqu
    0.88
     studios
    0.83
     theat
    0.82
     screenings
    0.82
     theater
    0.81
     Cinema
    0.78
     studio
    0.78
    Activations Density 0.071%

    No Known Activations