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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. 8-RES-JB
    11. 3353
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    Explanations

    terms related to film production and crew members

    oai_token-act-pair · gpt-3.5-turbo

    mentions of production-related content in the film industry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aiman
    -0.88
    imb
    -0.85
    combe
    -0.73
    imo
    -0.72
    uckle
    -0.71
    maxwell
    -0.70
    leans
    -0.70
    osate
    -0.65
    attled
    -0.63
    bern
    -0.63
    POSITIVE LOGITS
     studio
    0.80
     studios
    0.80
     productions
    0.76
    wright
    0.76
    smanship
    0.70
     theat
    0.68
     screenings
    0.66
     Studios
    0.65
     ministry
    0.64
     company
    0.61
    Activations Density 0.053%

    No Known Activations