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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. 4-RES-JB
    11. 2393
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    Explanations

    words related to violations or wrongdoings

    oai_token-act-pair · gpt-3.5-turbo

    mentions of fouls or infractions in various contexts

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

    No Comments

    Negative Logits
    _>
    -0.80
    edia
    -0.75
    ocobo
    -0.74
    Downloadha
    -0.73
    amaru
    -0.69
    udeau
    -0.69
    etsk
    -0.69
    igslist
    -0.69
     Puzzles
    -0.68
    zl
    -0.68
    POSITIVE LOGITS
    terness
    0.89
    cery
    0.81
     smelling
    0.81
     foul
    0.80
    mire
    0.73
    checks
    0.70
    eners
    0.70
    faced
    0.69
     misc
    0.66
    blooded
    0.66
    Activations Density 0.007%

    No Known Activations