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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. 7380
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    Explanations

    phrases related to sharing and commonality

    oai_token-act-pair · gpt-3.5-turbo

    references to shared experiences or commonalities among individuals or groups

    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
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    Negative Logits
    paio
    -0.78
    ª
    -0.73
    ¹
    -0.69
    ħĭ
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    İ
    -0.67
    ij
    -0.67
    ¨
    -0.66
    ¯
    -0.66
    ľ
    -0.64
    amin
    -0.64
    POSITIVE LOGITS
     secrets
    0.86
     workspace
    0.76
     burdens
    0.75
     burden
    0.75
     fate
    0.74
    rio
    0.74
    edin
    0.70
     similarities
    0.69
     liber
    0.67
     wi
    0.67
    Activations Density 0.147%

    No Known Activations