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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
    11. 13469
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    Explanations

    topics related to various competitive aspects such as politics, sports, and business competitions

    oai_token-act-pair · gpt-3.5-turbo

    key terms related to performance and trends 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
    tein
    -0.78
     Arbit
    -0.64
    kar
    -0.63
     cryst
    -0.61
    ãģį
    -0.61
    yss
    -0.61
     Nanto
    -0.60
     Shards
    -0.57
    1000
    -0.56
    pathic
    -0.56
    POSITIVE LOGITS
    warts
    0.80
    adelphia
    0.80
    lance
    0.73
    naire
    0.73
     bandwagon
    0.72
     extraord
    0.72
    vernight
    0.71
    wagon
    0.69
    naires
    0.68
    arios
    0.66
    Activations Density 0.481%

    No Known Activations