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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. 13912
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    INDEX
    Explanations

    written descriptions of glasses and their specific features

    oai_token-act-pair · gpt-3.5-turbo

    references to eyewear, specifically glasses and sunglasses

    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
    ILY
    -0.96
    heny
    -0.76
    actionDate
    -0.74
    raltar
    -0.74
    DAY
    -0.71
    itative
    -0.71
    anqu
    -0.66
    TAIN
    -0.65
    BTC
    -0.64
    Mech
    -0.63
    POSITIVE LOGITS
     glasses
    1.37
     goggles
    1.02
    lasses
    0.97
     sunglasses
    0.96
    creen
    0.88
    linger
    0.87
    lace
    0.84
     tint
    0.80
    glass
    0.79
     lenses
    0.79
    Activations Density 0.023%

    No Known Activations