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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. 10-RES-JB
    6. 3773
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    Explanations

    phrases that include the word "there" indicating a statement or condition

    oai_token-act-pair · gpt-3.5-turbo

    the word "there" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Seym
    -0.61
     Armored
    -0.60
     Maze
    -0.59
     Heights
    -0.58
     wheelchair
    -0.57
     externalToEVAOnly
    -0.56
     eyeing
    -0.56
     Ashton
    -0.56
     IPM
    -0.54
     caffe
    -0.52
    POSITIVE LOGITS
    upon
    1.37
    fore
    1.31
    abouts
    1.27
    after
    1.23
    FORE
    1.09
     exists
    1.08
    for
    1.04
     arises
    1.03
    with
    1.03
    from
    0.94
    Activations Density 0.112%

    No Known Activations