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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. 587
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    Explanations

    adjectives and nouns related to importance or impact

    oai_token-act-pair · gpt-3.5-turbo

    key adjectives or descriptors that indicate significant qualities or conditions

    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
    ĸļ
    -1.08
    ICLE
    -0.87
     Debor
    -0.73
    heid
    -0.67
    lain
    -0.65
    dq
    -0.64
     TAMADRA
    -0.64
    %]
    -0.64
    olutely
    -0.63
     Uriel
    -0.62
    POSITIVE LOGITS
    igans
    0.72
    worldly
    0.70
     flair
    0.70
    uitous
    0.66
    else
    0.66
    place
    0.66
    away
    0.65
    legged
    0.65
     tricks
    0.63
     whatsoever
    0.63
    Activations Density 0.197%

    No Known Activations