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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. 9-RES-JB
    11. 19584
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    Explanations

    references to box office performance

    oai_token-act-pair · gpt-3.5-turbo

    references to "box office" in relation to films

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uates
    -0.82
     Hots
    -0.80
    ufact
    -0.80
    uating
    -0.76
    uated
    -0.75
     Archdemon
    -0.75
    uate
    -0.69
    atio
    -0.68
    onomous
    -0.66
    isance
    -0.64
    POSITIVE LOGITS
    cars
    1.10
    box
    1.02
    boxes
    1.01
    office
    0.94
    car
    0.94
    sets
    0.92
    buster
    0.91
    etry
    0.91
    door
    0.90
    nut
    0.88
    Activations Density 0.042%

    No Known Activations