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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    summaries within documents

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "summary"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apy
    -0.69
    frey
    -0.68
    tes
    -0.67
    warm
    -0.67
    Ĭ±
    -0.67
    yss
    -0.66
    pton
    -0.66
    irds
    -0.66
    train
    -0.65
    ldon
    -0.64
    POSITIVE LOGITS
     summary
    1.18
     summ
    1.15
     Summary
    1.04
     synopsis
    0.97
     summarize
    0.96
    summary
    0.88
     summar
    0.88
    ertation
    0.77
     guiActiveUn
    0.75
     rundown
    0.75
    Activations Density 0.010%

    No Known Activations