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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. 11-RES-JB
    11. 14046
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    INDEX
    Explanations

    mentions of high readership or engagement with specific publications

    oai_token-act-pair · gpt-3.5-turbo

    references to readership and media engagement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    netflix
    -0.72
    âĢİ
    -0.66
    anski
    -0.63
    essen
    -0.57
    ''.
    -0.57
    bys
    -0.55
     âĢİ
    -0.55
     Pearce
    -0.54
     onstage
    -0.53
     backstage
    -0.53
    POSITIVE LOGITS
    ²¾
    0.83
     Gutenberg
    0.72
    Īè
    0.69
     Reader
    0.69
    Reader
    0.62
    DragonMagazine
    0.62
    hole
    0.61
    ortunate
    0.61
    aunders
    0.60
    ilib
    0.57
    Activations Density 0.028%

    No Known Activations