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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. 18983
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    Explanations

    verbs that describe observing or noticing, as well as words indicating application or persistence

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating conditions or observations that are clear and applicable

    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
     wishes
    -0.64
     foregoing
    -0.63
    inventoryQuantity
    -0.61
     fame
    -0.58
    dule
    -0.57
     preparation
    -0.56
     scrap
    -0.55
    claimer
    -0.55
    wer
    -0.55
     clocks
    -0.54
    POSITIVE LOGITS
     everywhere
    1.05
     throughout
    0.90
     elsewhere
    0.90
     Nationwide
    0.85
     across
    0.84
    ï¸ı
    0.82
    today
    0.74
     irrespective
    0.74
    igmatic
    0.73
     Everywhere
    0.71
    Activations Density 0.288%

    No Known Activations