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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. 9-RES-JB
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    Explanations

    names or terms related to a specific character or entity named "Drake", possibly from various contexts such as movies, games, or personal stories

    oai_token-act-pair · gpt-3.5-turbo

    references to specific characters or elements related to the "Dra" and "Kra" themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dragonbound
    -0.75
    mates
    -0.74
    mate
    -0.70
     Relations
    -0.69
     Clover
    -0.68
    manship
    -0.68
    worthiness
    -0.66
     Hots
    -0.66
    lace
    -0.65
     Tet
    -0.64
    POSITIVE LOGITS
    igslist
    1.59
    fters
    1.44
    fter
    1.25
    ven
    1.19
    ught
    1.12
    pload
    1.10
    plin
    1.09
    ugh
    1.07
    ving
    1.06
    eger
    1.03
    Activations Density 0.048%

    No Known Activations