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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. 7-RES-JB
    6. 6797
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    Explanations

    references to electrical power measurements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to power measurements in watts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vich
    -0.79
    tto
    -0.76
    patrick
    -0.71
    thia
    -0.70
    meat
    -0.67
    ptive
    -0.64
     Danger
    -0.63
    ll
    -0.63
     Currency
    -0.62
     Humanity
    -0.61
    POSITIVE LOGITS
    igans
    0.88
    iless
    0.86
    atts
    0.83
    aic
    0.83
    arios
    0.83
    iated
    0.82
    ishers
    0.82
    iation
    0.81
    orthy
    0.78
     athlet
    0.77
    Activations Density 0.082%

    No Known Activations