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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 8196
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    Explanations

    dates or specific numbers mentioned in a sentence

    oai_token-act-pair · gpt-3.5-turbo

    the presence of specific suffixes or word endings

    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
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    No Comments

    Negative Logits
    footed
    -0.78
    ierrez
    -0.69
     CPR
    -0.65
    minecraft
    -0.64
    repre
    -0.62
     DOI
    -0.62
    avorite
    -0.61
     Folder
    -0.59
    udeb
    -0.59
     lawy
    -0.59
    POSITIVE LOGITS
    roth
    0.99
    RAL
    0.79
    ral
    0.78
    士
    0.69
    opol
    0.67
    enne
    0.67
    »Ĵ
    0.66
    Ĥİ
    0.64
    bor
    0.63
    DragonMagazine
    0.63
    Activations Density 0.114%

    No Known Activations