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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. 18846
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    Explanations

    words related to various sports teams and their transfers or movements between locations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of sports teams and locations

    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
    xual
    -0.75
     lawy
    -0.72
     anecd
    -0.67
    skirts
    -0.66
    rodu
    -0.63
    espie
    -0.61
    vity
    -0.57
    biz
    -0.57
    ilitary
    -0.57
    nces
    -0.56
    POSITIVE LOGITS
    isi
    0.57
     Rubin
    0.56
     atomic
    0.52
     Rept
    0.52
     counterpart
    0.51
    esque
    0.51
    Ïī
    0.50
    /
    0.49
     Socket
    0.49
    EX
    0.49
    Activations Density 0.703%

    No Known Activations