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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. 8-RES-JB
    6. 20241
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    INDEX
    Explanations

    names of people or entities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ORTS
    -0.71
    FACE
    -0.70
    ENTS
    -0.67
    BILITY
    -0.67
    ornia
    -0.65
    pection
    -0.63
    perature
    -0.63
     arenas
    -0.63
    士
    -0.62
    sylv
    -0.62
    POSITIVE LOGITS
    jad
    0.99
    henko
    0.74
    atz
    0.74
     Nak
    0.71
    ndra
    0.71
    kov
    0.68
    opoulos
    0.68
    ullah
    0.67
    uty
    0.66
    aleb
    0.66
    Activations Density 0.173%

    No Known Activations