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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. 3-RES-JB
    11. 4575
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     delic
    -0.66
     bis
    -0.65
     weighing
    -0.64
    jah
    -0.62
     Abyss
    -0.62
     Manson
    -0.61
    cat
    -0.61
     gearing
    -0.60
     sliced
    -0.59
     separating
    -0.59
    POSITIVE LOGITS
    skirts
    0.84
    adesh
    0.84
    olicy
    0.81
    rights
    0.81
    ername
    0.80
    dates
    0.79
     Tradable
    0.78
     veter
    0.77
    osponsors
    0.75
    Interstitial
    0.73
    Activations Density 0.067%

    No Known Activations