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

    phrases containing the substring "omew"

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "some."

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Cells
    -0.71
     Cell
    -0.69
     Authors
    -0.69
     Fighters
    -0.68
    cells
    -0.68
     Runner
    -0.67
     Muller
    -0.67
     Yoga
    -0.63
    shr
    -0.63
     Recall
    -0.63
    POSITIVE LOGITS
    eteen
    1.06
    eteenth
    0.92
    eenth
    0.92
    iculty
    0.89
    entimes
    0.88
    icably
    0.82
    ety
    0.81
    cipled
    0.80
    elfth
    0.80
    terness
    0.79
    Activations Density 0.004%

    No Known Activations