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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. 9996
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    INDEX
    Explanations

    ordinal rankings or positions

    oai_token-act-pair · gpt-3.5-turbo

    rankings and numerical positions related to performance metrics or statistics

    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
    ellar
    -0.71
    tails
    -0.70
    ĨĴ
    -0.66
     resusc
    -0.64
    imore
    -0.63
    ibus
    -0.61
    aton
    -0.60
     shed
    -0.59
    eez
    -0.58
    ipation
    -0.57
    POSITIVE LOGITS
    Tier
    0.86
    verages
    0.80
    BuyableInstoreAndOnline
    0.77
    incial
    0.74
     percentile
    0.71
     Highest
    0.71
     athlet
    0.71
    ustom
    0.68
     "$:/
    0.68
    retty
    0.66
    Activations Density 0.211%

    No Known Activations