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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. 8-RES-JB
    11. 11563
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    Explanations

    the name "Jean" with a strong activation value

    oai_token-act-pair · gpt-3.5-turbo

    the recurring mention of the name "Jean"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    holders
    -0.77
    ãĥ¼ãĥ³
    -0.72
    awar
    -0.68
    ulnerability
    -0.68
    earable
    -0.67
    llah
    -0.66
    aneers
    -0.65
    BIP
    -0.64
     Flavoring
    -0.63
    elight
    -0.62
    POSITIVE LOGITS
    ette
    1.00
    etta
    0.92
     Claude
    0.92
     Baptist
    0.87
     Francois
    0.87
    esis
    0.85
     Marie
    0.84
    Cla
    0.83
     Pierre
    0.82
     Jacques
    0.82
    Activations Density 0.029%

    No Known Activations