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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. 7-RES-JB
    11. 14442
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    Explanations

    keywords or phrases related to different categories or classifications

    oai_token-act-pair · gpt-3.5-turbo

    mentions of categories or classifications in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    bats
    -0.86
     Zimmer
    -0.78
     RIS
    -0.71
    kj
    -0.63
     Trojan
    -0.61
     Rez
    -0.61
     Tycoon
    -0.60
     vig
    -0.59
     Ney
    -0.59
     Tucson
    -0.59
    POSITIVE LOGITS
    naire
    0.99
    category
    0.86
    ifier
    0.84
     categories
    0.78
    Category
    0.78
    rss
    0.76
    ãģĨ
    0.76
    oola
    0.75
    omial
    0.74
    eworthy
    0.73
    Activations Density 0.022%

    No Known Activations