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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21523
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    Explanations

    the name "Vincent" at various levels of activation

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Vincent" or variations thereof

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    swick
    -0.80
    enegger
    -0.78
    acement
    -0.74
    dress
    -0.74
    izoph
    -0.72
    wart
    -0.71
    abies
    -0.70
    ansas
    -0.69
    gow
    -0.69
    nob
    -0.69
    POSITIVE LOGITS
     Scully
    0.91
     Staples
    0.90
    rette
    0.84
     Foster
    0.84
     Lomb
    0.82
     Bucc
    0.81
    inho
    0.80
     Vaughn
    0.77
    oso
    0.77
     Kart
    0.75
    Activations Density 0.073%

    No Known Activations