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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. 4-RES-JB
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    Explanations

    summaries of information or reports

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "summary" in various contexts

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

    No Comments

    Negative Logits
    yss
    -0.77
    bees
    -0.75
    train
    -0.74
    warm
    -0.74
    gypt
    -0.74
     charism
    -0.72
    hips
    -0.71
    pots
    -0.66
    irds
    -0.65
    iqueness
    -0.64
    POSITIVE LOGITS
     summary
    0.92
     summ
    0.90
     summar
    0.86
     synopsis
    0.83
     summarize
    0.81
     outline
    0.75
    ãĤ¢ãĥ«
    0.75
     Summary
    0.73
     VIEW
    0.72
     summarizes
    0.71
    Activations Density 0.016%

    No Known Activations