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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. 10-RES-JB
    11. 6158
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    Explanations

    descriptions of accidents and incidents involving injuries

    oai_token-act-pair · gpt-3.5-turbo

    occurrences and discussions of accidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -0.80
    tch
    -0.78
    ongyang
    -0.78
    zees
    -0.77
    erity
    -0.74
    rica
    -0.74
    zee
    -0.73
    hett
    -0.73
    ringe
    -0.72
    azines
    -0.72
    POSITIVE LOGITS
     accident
    1.05
     hazard
    1.02
     involving
    1.00
    worthiness
    0.99
     occurring
    0.92
     wreck
    0.91
     accidents
    0.91
     occ
    0.91
     fatalities
    0.90
     prone
    0.90
    Activations Density 0.060%

    No Known Activations