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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. 18138
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    Explanations

    mentions of the name "Bern"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Bern" in various contexts

    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
    mson
    -0.78
     partName
    -0.71
    teenth
    -0.68
     clipboard
    -0.67
    DNA
    -0.66
    ------------------------------------------------
    -0.66
    WARE
    -0.65
    intendent
    -0.65
     SPORTS
    -0.63
    mble
    -0.63
    POSITIVE LOGITS
    anke
    1.36
    hard
    0.98
    hal
    0.95
    aby
    0.94
    hart
    0.92
    stein
    0.85
    etta
    0.85
    ayan
    0.82
    adel
    0.81
    ardo
    0.81
    Activations Density 0.011%

    No Known Activations