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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. 3-RES-JB
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    Explanations

    mentions of the word "manga" within the text

    oai_token-act-pair · gpt-3.5-turbo

    references to manga

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olate
    -0.72
     Rockefeller
    -0.71
    olation
    -0.70
    mand
    -0.69
    rod
    -0.69
    ront
    -0.69
    alls
    -0.69
    riers
    -0.68
    âķIJ
    -0.68
     Kear
    -0.66
    POSITIVE LOGITS
     manga
    1.00
     Manga
    0.90
     novels
    0.82
     adaptation
    0.81
    Gamer
    0.77
     novelist
    0.74
     manuscript
    0.72
     Tsuk
    0.71
     Nadu
    0.70
     novel
    0.69
    Activations Density 0.009%

    No Known Activations