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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. 0-RES-JB
    6. 22035
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    Explanations

    phrases related to specific terms or brands, particularly related to gaming, sports, and cooking

    oai_token-act-pair · gpt-3.5-turbo

    references to gaming and culinary terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ait
    -0.76
    sid
    -0.72
    rael
    -0.67
     royalty
    -0.66
    ename
    -0.66
    Chance
    -0.65
    rament
    -0.64
    poll
    -0.64
    cape
    -0.64
    hene
    -0.63
    POSITIVE LOGITS
     Gamer
    3.26
    ultimate
    1.05
     Panzer
    0.93
     Gators
    0.93
     rehe
    0.89
     skillet
    0.84
    vre
    0.82
     Avenger
    0.82
     Granger
    0.79
    esan
    0.78
    Activations Density 0.028%

    No Known Activations