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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. 7-RES-JB
    6. 6276
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    Explanations

    phrases indicating recognition or acknowledgment, like "credited with" or "credited as."

    oai_token-act-pair · gpt-3.5-turbo

    references to attributions or acknowledgments of contributions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icz
    -0.67
    cars
    -0.62
    atos
    -0.61
    oto
    -0.61
    ften
    -0.61
    ife
    -0.61
    boats
    -0.61
    ference
    -0.61
    croft
    -0.61
    angular
    -0.60
    POSITIVE LOGITS
    olor
    0.97
    heet
    0.84
    din
    0.80
    rious
    0.78
    llah
    0.78
    redited
    0.75
    eworthy
    0.72
    enza
    0.72
    VERTISEMENT
    0.71
    oice
    0.71
    Activations Density 0.024%

    No Known Activations