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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. 21049
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    INDEX
    Explanations

    phrases related to a specific manner or style of behavior or action

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of behavior or actions

    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
    Dust
    -0.73
     Patri
    -0.70
    hemat
    -0.69
     Lyn
    -0.67
     Vikings
    -0.66
    rament
    -0.65
    draft
    -0.65
    gaard
    -0.65
    ovie
    -0.62
    yrs
    -0.61
    POSITIVE LOGITS
    isms
    1.25
     manner
    0.80
    othy
    0.80
    ism
    0.78
    wcsstore
    0.73
     ACTIONS
    0.73
    able
    0.72
    ably
    0.72
     largeDownload
    0.72
    ually
    0.69
    Activations Density 0.017%

    No Known Activations