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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. 9-RES-JB
    11. 24037
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    INDEX
    Explanations

    demands or requests made by individuals or groups

    oai_token-act-pair · gpt-3.5-turbo

    statements involving demands or requests

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arij
    -0.79
    ahime
    -0.78
     Echoes
    -0.77
    foundland
    -0.74
    vironment
    -0.72
    uyomi
    -0.68
     Contrast
    -0.66
    unders
    -0.64
    arcity
    -0.64
    ilogy
    -0.64
    POSITIVE LOGITS
     surrender
    1.11
     concessions
    1.05
     relinqu
    0.96
     cease
    0.94
     forgiveness
    0.93
     assurances
    0.93
     ransom
    0.93
     divul
    0.93
     capit
    0.91
     release
    0.90
    Activations Density 0.456%

    No Known Activations