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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. 10-RES-JB
    6. 17130
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    INDEX
    Explanations

    references to flashlights or flashes of light

    oai_token-act-pair · gpt-3.5-turbo

    references to flash-related concepts or items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Seym
    -0.76
    ally
    -0.74
    ufact
    -0.72
     Dame
    -0.70
    ality
    -0.69
    romeda
    -0.65
    yip
    -0.65
     Alban
    -0.64
    xus
    -0.64
    yss
    -0.64
    POSITIVE LOGITS
    bang
    1.16
    lights
    1.14
    cards
    1.13
    points
    1.12
    point
    1.11
    light
    1.10
    fast
    1.04
    mob
    0.98
    trap
    0.95
    bul
    0.94
    Activations Density 0.028%

    No Known Activations