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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. 20372
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    Explanations

    phrases related to making strong claims or statements

    oai_token-act-pair · gpt-3.5-turbo

    statements that involve claims and assertions about certain ideas or concepts

    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
    pace
    -0.81
    ingers
    -0.76
    igmatic
    -0.75
    paces
    -0.74
    paio
    -0.74
    hips
    -0.71
    imilar
    -0.69
    odium
    -0.69
    everal
    -0.68
    ynski
    -0.67
    POSITIVE LOGITS
    naire
    0.90
    ally
    0.87
    aires
    0.83
    lessly
    0.81
     reel
    0.76
     deduction
    0.73
     assumption
    0.72
    ually
    0.72
    ibia
    0.72
    lessness
    0.72
    Activations Density 0.117%

    No Known Activations