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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. 4-RES-JB
    6. 18079
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    Explanations

    proper nouns, specifically focusing on names of people

    oai_token-act-pair · gpt-3.5-turbo

    names or terms associated with notable individuals

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

    No Comments

    Negative Logits
    uyomi
    -0.74
    Magikarp
    -0.65
     abdominal
    -0.64
     pocket
    -0.63
    ription
    -0.63
     disadvant
    -0.61
     proble
    -0.61
    ngth
    -0.60
    ItemTracker
    -0.59
     abdom
    -0.59
    POSITIVE LOGITS
    chu
    0.90
    ãĤ©
    0.89
    quist
    0.86
    enstein
    0.84
    eries
    0.82
    stal
    0.82
    uci
    0.82
    ãĥ¼ãĥĨãĤ£
    0.81
    ti
    0.78
    lio
    0.78
    Activations Density 0.017%

    No Known Activations