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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. 3135
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    INDEX
    Explanations

    adjectives related to health and wellness

    oai_token-act-pair · gpt-3.5-turbo

    references to health conditions and states of illness

    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
     Flavoring
    -0.73
     breed
    -0.61
     MER
    -0.61
    ggles
    -0.61
     delim
    -0.60
    Us
    -0.59
    Rule
    -0.58
     poll
    -0.58
     guid
    -0.57
     href
    -0.57
    POSITIVE LOGITS
    ridden
    0.85
    retty
    0.82
    usional
    0.81
    cember
    0.76
    angering
    0.71
    figured
    0.70
    blind
    0.66
     psychiat
    0.66
     enough
    0.65
    jured
    0.65
    Activations Density 0.263%

    No Known Activations