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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. 6-RES-JB
    11. 7471
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    Explanations

    proper names followed by a number, specifically the name "Anthony" followed by a number indicating intensity or relevance

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Anthony."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wagen
    -0.93
    dp
    -0.78
    lasses
    -0.76
    dog
    -0.75
    nir
    -0.74
    sbm
    -0.74
    gp
    -0.73
    spring
    -0.72
    ledged
    -0.72
    Ö¼
    -0.70
    POSITIVE LOGITS
     Weiner
    0.94
    anton
    0.83
     Russo
    0.83
     Bour
    0.82
     Centauri
    0.77
     Hopkins
    0.77
     Cum
    0.76
     Alban
    0.76
     Lev
    0.75
    qua
    0.74
    Activations Density 0.019%

    No Known Activations