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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. 9-RES-JB
    11. 13450
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aught
    -0.72
    ¬
    -0.71
    tering
    -0.71
    76561
    -0.71
    mia
    -0.70
    SELECT
    -0.70
    avery
    -0.70
    otropic
    -0.69
    zee
    -0.69
    zman
    -0.68
    POSITIVE LOGITS
    grades
    0.95
    ments
    0.95
    grading
    0.85
     upgrades
    0.83
    mentation
    0.77
    graded
    0.76
     cables
    0.73
     kits
    0.72
     effic
    0.71
     upgr
    0.71
    Activations Density 0.039%

    No Known Activations