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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. 7-RES-JB
    11. 3924
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    Explanations

    details or actions related to individuals

    oai_token-act-pair · gpt-3.5-turbo

    sentences that indicate personal experiences or anecdotes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    claimer
    -0.83
    xit
    -0.72
    ½
    -0.72
    framework
    -0.71
    bringer
    -0.69
    heed
    -0.69
    amacare
    -0.68
    osphere
    -0.67
    oppable
    -0.67
     Sovere
    -0.67
    POSITIVE LOGITS
     Occasionally
    1.07
     dinners
    0.94
     occasionally
    0.88
     tended
    0.87
    ornings
    0.86
     occasional
    0.84
     evenings
    0.83
     Sometimes
    0.82
    sometimes
    0.81
     occas
    0.81
    Activations Density 1.000%

    No Known Activations