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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. 15776
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    Explanations

    chemical elements and symbols

    oai_token-act-pair · gpt-3.5-turbo

    combinations of letters and potential abbreviations or codes

    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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    No Comments

    Negative Logits
    ways
    -0.66
     seiz
    -0.63
     attrition
    -0.63
     centrif
    -0.62
     surg
    -0.57
    ¥µ
    -0.56
     plur
    -0.56
    jriwal
    -0.56
    azeera
    -0.55
     coli
    -0.55
    POSITIVE LOGITS
    ongyang
    0.86
    asus
    0.84
    γ
    0.81
    ciation
    0.79
    sylvania
    0.77
    Äĩ
    0.76
    sburgh
    0.75
    ucket
    0.75
    Cola
    0.74
     Nieto
    0.73
    Activations Density 0.533%

    No Known Activations