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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. 6-RES-JB
    11. 8525
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    Explanations

    written summaries or reports within a document

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "summary" and variations thereof

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    train
    -0.73
    bees
    -0.72
    gypt
    -0.72
     Wee
    -0.71
    duct
    -0.68
    warm
    -0.68
     charism
    -0.67
    hips
    -0.65
     Mustang
    -0.64
    Sea
    -0.62
    POSITIVE LOGITS
     summar
    0.90
     summ
    0.88
     VIEW
    0.83
     summarize
    0.82
     summary
    0.81
     synopsis
    0.77
     thereof
    0.76
    strate
    0.76
    lations
    0.71
    krit
    0.71
    Activations Density 0.028%

    No Known Activations