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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 2594
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    Explanations

    the name "Ross" with a very strong activation

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Ross."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rious
    -0.74
     à¨
    -0.73
    brance
    -0.69
    urated
    -0.67
    ACTED
    -0.67
    lder
    -0.65
    ulhu
    -0.64
     conspicuous
    -0.64
    undai
    -0.64
    ع
    -0.63
    POSITIVE LOGITS
    bach
    1.02
    etti
    0.96
    inson
    0.95
    olini
    0.87
    lyn
    0.86
    aunders
    0.86
    andowski
    0.84
    iter
    0.80
    endale
    0.79
    ys
    0.78
    Activations Density 0.019%

    No Known Activations