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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. 6-RES-JB
    6. 1946
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    names or terms associated with individuals and specific titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -1.09
    ishers
    -0.85
    rol
    -0.77
    arded
    -0.73
    roud
    -0.71
    ween
    -0.71
    ARD
    -0.71
    alore
    -0.69
    NING
    -0.68
    roleum
    -0.67
    POSITIVE LOGITS
    anguage
    1.03
    phia
    1.00
    inia
    0.86
    nesota
    0.81
    ication
    0.79
    dylib
    0.77
    icity
    0.76
    ibrary
    0.76
    iberal
    0.76
    icate
    0.75
    Activations Density 0.073%

    No Known Activations