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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. 8-RES-JB
    11. 16718
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    Explanations

    proper nouns or names with repeated patterns or sequence of characters

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     ancest
    -0.66
     flares
    -0.65
     hoops
    -0.65
    htaking
    -0.64
    staking
    -0.62
     FIRE
    -0.60
     heights
    -0.60
     heels
    -0.59
    kefeller
    -0.59
    Thumbnail
    -0.57
    POSITIVE LOGITS
    haus
    0.68
    ä
    0.65
    ovsky
    0.64
     seiz
    0.63
    aten
    0.62
    uke
    0.62
    las
    0.62
    zh
    0.60
    heim
    0.59
    ü
    0.59
    Activations Density 0.246%

    No Known Activations