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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. 8-RES-JB
    11. 8258
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    Explanations

    words related to improvement or enhancement

    oai_token-act-pair · gpt-3.5-turbo

    references to improvement or enhancement in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    NetMessage
    -0.71
    ategory
    -0.67
     Dresden
    -0.66
     Straw
    -0.65
    erity
    -0.64
     Crawford
    -0.64
    mberg
    -0.61
    leted
    -0.61
     Pione
    -0.60
    cano
    -0.59
    POSITIVE LOGITS
     than
    1.03
     suited
    1.02
     behaved
    1.02
     acquainted
    0.94
    than
    0.87
    ment
    0.86
    iating
    0.86
    seller
    0.81
     understanding
    0.80
     vers
    0.78
    Activations Density 0.055%

    No Known Activations