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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. 17310
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    INDEX
    Explanations

    mentions of box office performance or related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to box office performance metrics

    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
    ufact
    -0.81
    uates
    -0.79
     Hots
    -0.78
    uated
    -0.77
    onomous
    -0.74
     GOODMAN
    -0.72
    uating
    -0.71
    issance
    -0.68
     CSI
    -0.67
    merce
    -0.67
    POSITIVE LOGITS
    cars
    1.05
    box
    0.98
    boxes
    0.97
    buster
    0.93
    office
    0.90
    ridges
    0.89
     Box
    0.89
    sets
    0.88
     box
    0.88
    nut
    0.88
    Activations Density 0.019%

    No Known Activations