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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. 14521
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    INDEX
    Explanations

    words related to emitting or emission of different types of energy or substances

    oai_token-act-pair · gpt-3.5-turbo

    terms related to light and radiation emission

    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
    anova
    -0.92
    esan
    -0.72
    aign
    -0.69
    apan
    -0.69
    ivan
    -0.68
     Alban
    -0.68
    udeau
    -0.67
    essor
    -0.67
     Andrews
    -0.67
     Chall
    -0.65
    POSITIVE LOGITS
     emitted
    1.08
     emit
    1.07
     emitting
    1.06
     emission
    1.04
     emits
    1.02
     emissions
    0.94
     emanating
    0.87
    orescence
    0.76
     glow
    0.73
    getic
    0.71
    Activations Density 0.023%

    No Known Activations