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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. 2683
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    Explanations

    references to bells

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "bell."

    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
    urat
    -0.75
    EEE
    -0.69
    ritz
    -0.69
    berman
    -0.68
    expensive
    -0.67
    76561
    -0.67
    esthesia
    -0.67
    VICE
    -0.66
    agents
    -0.66
     Agents
    -0.65
    POSITIVE LOGITS
     bell
    1.07
    bell
    1.04
     bells
    1.04
    ows
    0.93
     hooks
    0.84
     peppers
    0.83
    ossom
    0.75
     ringing
    0.73
    iod
    0.72
    owed
    0.72
    Activations Density 0.004%

    No Known Activations