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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. 3-RES-JB
    11. 2842
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    INDEX
    Explanations

    mentions of film or video production activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of production-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imb
    -0.80
    uckle
    -0.77
    hatt
    -0.68
     Seas
    -0.67
    ench
    -0.67
    imo
    -0.66
    combe
    -0.62
    verse
    -0.62
    ucket
    -0.62
    leans
    -0.62
    POSITIVE LOGITS
     productions
    0.88
    wright
    0.80
     production
    0.79
    Production
    0.78
     Production
    0.75
    unit
    0.74
    arily
    0.74
     screenings
    0.73
    smanship
    0.71
     quotas
    0.69
    Activations Density 0.031%

    No Known Activations