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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. 6-RES-JB
    11. 4468
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    Explanations

    the symbols âĢ and Ļ

    oai_token-act-pair · gpt-3.5-turbo

    specific symbols or special characters used in a repetitive context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rament
    -0.73
    itans
    -0.71
     unborn
    -0.70
     asses
    -0.70
     stump
    -0.68
    geries
    -0.66
    ikers
    -0.65
    izon
    -0.64
    ogene
    -0.63
     carbohyd
    -0.63
    POSITIVE LOGITS
    ï¸ı
    1.00
     Similarly
    0.84
    ï¸
    0.83
    However
    0.82
    İ
    0.79
     Whereas
    0.79
     Likewise
    0.78
     Therefore
    0.78
    Likewise
    0.77
     However
    0.75
    Activations Density 0.253%

    No Known Activations