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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. 2499
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    Explanations

    words related to specific needs and requirements

    oai_token-act-pair · gpt-3.5-turbo

    references to various human needs

    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
    é¾
    -0.64
    onym
    -0.62
     Dak
    -0.61
     rabbit
    -0.59
    âĸ¬
    -0.59
     Bad
    -0.58
     Bom
    -0.58
     rook
    -0.57
     Pill
    -0.57
     skiing
    -0.57
    POSITIVE LOGITS
    cale
    0.78
    afety
    0.75
    pace
    0.75
    afe
    0.73
    giving
    0.73
     attention
    0.70
    lessly
    0.70
    î
    0.68
     dictate
    0.67
    ylum
    0.67
    Activations Density 0.034%

    No Known Activations