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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. 932
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    Explanations

    dates and events

    oai_token-act-pair · gpt-3.5-turbo

    specific dates and mentions of time

    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
    herty
    -0.77
    omorphic
    -0.74
    keyes
    -0.72
    anned
    -0.68
    ospace
    -0.68
    apego
    -0.67
    ourge
    -0.67
    ilitary
    -0.66
    olis
    -0.65
    ersive
    -0.64
    POSITIVE LOGITS
    teenth
    0.93
     1954
    0.85
     1958
    0.84
     1949
    0.84
     1955
    0.81
     1948
    0.79
     1959
    0.78
     1953
    0.77
    imester
    0.77
     1947
    0.77
    Activations Density 0.295%

    No Known Activations