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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. 2-RES-JB
    6. 2911
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    Explanations

    references to teddy bears

    oai_token-act-pair · gpt-3.5-turbo

    references to teddy bears

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ILE
    -0.72
    EED
    -0.66
    aic
    -0.65
     ado
    -0.65
    eur
    -0.65
     gulf
    -0.64
    Tier
    -0.63
    RAFT
    -0.63
     ACS
    -0.62
    krit
    -0.62
    POSITIVE LOGITS
    eddy
    1.12
    bear
    0.88
    itus
    0.80
    Bear
    0.80
    wallet
    0.79
     Roose
    0.79
     Doodle
    0.77
    ulously
    0.76
     Roosevelt
    0.75
     sweater
    0.73
    Activations Density 0.013%

    No Known Activations