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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 12517
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    Explanations

    Proper nouns, specifically names of people

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "aut."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mary
    -0.73
    borough
    -0.70
    BLE
    -0.69
    nce
    -0.68
    WAY
    -0.66
    earchers
    -0.66
    MIT
    -0.66
    function
    -0.65
    mers
    -0.65
     Beir
    -0.63
    POSITIVE LOGITS
    ilus
    1.06
    emort
    1.02
    iful
    0.94
    umn
    0.91
    ographed
    0.90
    ograph
    0.90
    opsy
    0.90
    ica
    0.89
    ographs
    0.88
    ilia
    0.86
    Activations Density 0.020%

    No Known Activations