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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. 7-RES-JB
    11. 18913
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    Explanations

    phrases related to movies being released in theaters

    oai_token-act-pair · gpt-3.5-turbo

    references to movie theater showings and releases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.67
    ther
    -0.66
    owship
    -0.63
     respecting
    -0.62
    doms
    -0.62
    itability
    -0.61
    omedical
    -0.61
    overy
    -0.60
    fter
    -0.60
    IENT
    -0.59
    POSITIVE LOGITS
     theaters
    1.10
     theat
    0.88
     marqu
    0.87
     kios
    0.83
    goers
    0.82
     screenings
    0.81
    creen
    0.79
     exhib
    0.75
    strip
    0.74
     theater
    0.74
    Activations Density 0.030%

    No Known Activations