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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. 0-RES-JB
    6. 14327
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    Explanations

    words related to a collection of items or people, possibly in a list format

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to boundaries or limits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     giant
    -0.62
     Toll
    -0.61
     tension
    -0.61
     weight
    -0.60
     McGee
    -0.57
     reuse
    -0.55
     erg
    -0.55
     halftime
    -0.54
     peanut
    -0.54
     accent
    -0.54
    POSITIVE LOGITS
    aries
    4.97
    ary
    2.71
    ARY
    2.29
    arily
    2.11
    naire
    1.98
    arial
    1.94
    arios
    1.80
    arians
    1.76
    aires
    1.71
    naires
    1.59
    Activations Density 0.010%

    No Known Activations