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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. 19027
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    Explanations

    parentheses and commas in close proximity

    oai_token-act-pair · gpt-3.5-turbo

    punctuation elements, particularly commas

    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
    lees
    -0.83
    ities
    -0.76
    quickShipAvailable
    -0.72
    ernels
    -0.70
    annels
    -0.68
     scenes
    -0.64
    riers
    -0.63
    aunts
    -0.62
     channels
    -0.61
    ights
    -0.61
    POSITIVE LOGITS
     albeit
    0.97
     preferably
    0.95
     wherein
    0.92
     namely
    0.92
     whereby
    0.91
     consisting
    0.89
    albeit
    0.82
     whose
    0.81
    ogram
    0.81
    possibly
    0.77
    Activations Density 0.586%

    No Known Activations