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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. 9-RES-JB
    6. 11559
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    Explanations

    locations or places

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "there."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nanto
    -0.62
     Higgins
    -0.61
     attachments
    -0.59
     Barney
    -0.58
    iencies
    -0.58
    eer
    -0.58
     relevance
    -0.57
     Tasman
    -0.57
     Bast
    -0.56
     Ventura
    -0.56
    POSITIVE LOGITS
    abouts
    1.86
    upon
    1.26
    with
    1.01
    tics
    1.00
    tical
    0.94
    from
    0.92
    for
    0.87
    comings
    0.87
    fore
    0.84
     guiActiveUn
    0.81
    Activations Density 0.089%

    No Known Activations