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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. 8-RES-JB
    6. 22120
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    Explanations

    phrases related to being off course or deviating from expectations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to media references or programming content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CVE
    -0.76
    RIC
    -0.71
    ulhu
    -0.70
    afia
    -0.69
    non
    -0.66
    å°Ĩ
    -0.65
    VEN
    -0.65
    CLA
    -0.64
    ruary
    -0.63
    shapeshifter
    -0.62
    POSITIVE LOGITS
     beaten
    0.98
     leash
    0.97
     coasts
    0.94
     hinges
    0.92
     coast
    0.89
     island
    0.89
     rails
    0.88
     heels
    0.87
     shelves
    0.86
     shores
    0.85
    Activations Density 0.045%

    No Known Activations