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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. 6-RES-JB
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    INDEX
    Explanations

    mentions of a specific place or establishment, specifically a theater

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "theater"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    doms
    -0.84
    nir
    -0.78
    pages
    -0.70
    itability
    -0.69
    tan
    -0.68
    ilies
    -0.67
    sheet
    -0.65
    sen
    -0.63
    ortium
    -0.63
    sum
    -0.61
    POSITIVE LOGITS
    goers
    1.11
     theaters
    1.05
     theater
    0.99
     theatre
    0.94
     theat
    0.94
     kios
    0.89
     marqu
    0.87
     Royale
    0.87
     Theater
    0.83
    eers
    0.82
    Activations Density 0.023%

    No Known Activations