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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. 9-RES-JB
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    Explanations

    mentions of the word "Express"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Express" in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    aeper
    -0.70
    ellen
    -0.68
     darn
    -0.66
    abama
    -0.66
     Canaver
    -0.64
     nerv
    -0.64
     elders
    -0.63
     Acer
    -0.61
     Icar
    -0.61
     Ambro
    -0.61
    POSITIVE LOGITS
    ions
    1.21
    ional
    1.12
    Route
    1.07
    way
    1.07
    VPN
    0.95
    ãĥ¼ãĥĨãĤ£
    0.94
    iveness
    0.94
    ivity
    0.93
    ible
    0.90
    ure
    0.86
    Activations Density 0.046%

    No Known Activations