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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. 1-RES-JB
    11. 17574
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    Explanations

    words related to challenges or competitions

    oai_token-act-pair · gpt-3.5-turbo

    words related to vengeance or revenge themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omers
    -0.70
    rodu
    -0.68
     hem
    -0.64
    obin
    -0.64
    obb
    -0.64
    OGR
    -0.62
    ros
    -0.62
     accommodation
    -0.62
    acca
    -0.61
    deals
    -0.61
    POSITIVE LOGITS
    enge
    1.57
    enges
    1.20
    enger
    0.86
    herer
    0.86
     Challenge
    0.82
    PLIED
    0.80
    naire
    0.79
    Leader
    0.76
    plings
    0.76
    imaru
    0.76
    Activations Density 0.019%

    No Known Activations