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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. 3-RES-JB
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    Explanations

    references to sailors

    oai_token-act-pair · gpt-3.5-turbo

    references to sailors and military personnel

    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
    eger
    -0.76
    oned
    -0.74
    orne
    -0.73
    à
    -0.72
    ative
    -0.71
     Beir
    -0.70
    itsch
    -0.70
    rams
    -0.70
    onal
    -0.69
    ris
    -0.69
    POSITIVE LOGITS
     sailor
    1.07
    boats
    0.95
     sailors
    0.93
     SEAL
    0.82
    boat
    0.80
     Swim
    0.78
     Yard
    0.77
    marine
    0.76
     submar
    0.74
     Sail
    0.74
    Activations Density 0.011%

    No Known Activations