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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. 12904
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    Explanations

    work-related activities and contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to work and related concepts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     Ukrain
    -1.05
    olic
    -0.78
     constitu
    -0.74
    etsk
    -0.73
     Bour
    -0.68
     Flavoring
    -0.65
    wcs
    -0.63
     Bol
    -0.62
     Adin
    -0.61
    antha
    -0.61
    POSITIVE LOGITS
     ethic
    1.24
    aday
    1.22
    bench
    1.20
    station
    1.15
    forces
    1.03
    day
    1.03
    force
    1.01
    manship
    1.01
    days
    1.00
    week
    0.99
    Activations Density 0.089%

    No Known Activations