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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. 16173
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    Explanations

    words related to rules, requirements, or conditions

    oai_token-act-pair · gpt-3.5-turbo

    words related to different types of medical and legal contexts

    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
    frey
    -0.80
    owship
    -0.68
     Leilan
    -0.67
    ipeg
    -0.63
     Charlottesville
    -0.63
    HTTP
    -0.62
    drivers
    -0.62
    igrate
    -0.61
    URA
    -0.61
    ahar
    -0.60
    POSITIVE LOGITS
    atory
    1.06
     sidx
    0.81
    chnology
    0.75
     minded
    0.73
    itative
    0.72
    rog
    0.71
    ItemTracker
    0.71
    okers
    0.71
    atories
    0.69
    oker
    0.69
    Activations Density 0.019%

    No Known Activations