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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. 6-RES-JB
    6. 24001
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    INDEX
    Explanations

    words related to attractiveness or desirability

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to attractiveness or interest to people, particularly in the context of products, ideas, or individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ñĥ
    -0.78
     Colleges
    -0.74
    ifa
    -0.72
     Rost
    -0.67
    metal
    -0.66
     Berk
    -0.66
    kson
    -0.65
     Brut
    -0.63
     Coh
    -0.62
    fters
    -0.62
    POSITIVE LOGITS
     Flavoring
    1.12
    ingly
    0.97
    yrinth
    0.94
    ocene
    0.92
    ously
    0.88
    minist
    0.84
    atism
    0.84
    ĸļ
    0.81
    ikawa
    0.74
    eals
    0.74
    Activations Density 0.017%

    No Known Activations