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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. 5-RES-JB
    6. 11775
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    INDEX
    Explanations

    phrases related to diet and nutrition

    oai_token-act-pair · gpt-3.5-turbo

    references to diet

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dam
    -0.71
     Morse
    -0.68
     Pon
    -0.66
     bidding
    -0.65
     Templar
    -0.63
     Stra
    -0.62
    Constructed
    -0.61
     Ort
    -0.61
     Patterson
    -0.60
     Avalon
    -0.60
    POSITIVE LOGITS
    eteria
    1.12
    etics
    1.10
    rition
    1.08
    etic
    1.06
    onut
    1.03
     diet
    1.00
    oleon
    0.98
    etically
    0.97
    namese
    0.95
     Coke
    0.88
    Activations Density 0.016%

    No Known Activations