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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. 4233
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    Explanations

    references to characters from a specific franchise

    oai_token-act-pair · gpt-3.5-turbo

    references to specific characters and franchises in a narrative context

    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
    uliffe
    -0.99
    espie
    -0.85
    adelphia
    -0.85
     Lyons
    -0.78
    Colorado
    -0.76
    ottesville
    -0.76
    orsi
    -0.75
    icum
    -0.75
     Philly
    -0.74
    ftime
    -0.74
    POSITIVE LOGITS
     Makoto
    1.71
     Tsuk
    1.64
     Yosh
    1.61
     Hirosh
    1.61
     Aki
    1.61
     Kyoto
    1.61
     Kats
    1.59
     Hiro
    1.58
     Shin
    1.57
     Akira
    1.56
    Activations Density 0.589%

    No Known Activations