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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. 18567
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    Explanations

    terms related to animals, specifically focused on squirrels

    oai_token-act-pair · gpt-3.5-turbo

    terms related to germs and squirrels

    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
    quer
    -0.81
    tha
    -0.81
    versions
    -0.80
    ters
    -0.78
    neau
    -0.78
    lift
    -0.75
    emi
    -0.74
    eful
    -0.71
    emark
    -0.71
    obe
    -0.71
    POSITIVE LOGITS
     Kaufman
    0.75
     Schne
    0.73
     Canaver
    0.67
     stem
    0.65
     maze
    0.64
     Cyp
    0.63
     Garden
    0.62
    ãĤ¼ãĤ¦ãĤ¹
    0.62
    Downloadha
    0.61
    abbage
    0.61
    Activations Density 0.032%

    No Known Activations