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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. 3240
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    Explanations

    words related to potential outcomes or possibilities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating potential outcomes or changes

    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
    ogie
    -0.71
     invariably
    -0.68
     evidently
    -0.67
     seldom
    -0.66
     usually
    -0.65
     obviously
    -0.64
    ĸļ
    -0.62
    :\
    -0.61
     ALWAYS
    -0.61
     supposedly
    -0.59
    POSITIVE LOGITS
     someday
    1.09
     rethink
    0.81
     future
    0.79
    untled
    0.73
     anytime
    0.72
    ħĭ
    0.71
    aukee
    0.69
     inadvert
    0.69
    ivably
    0.68
     unintended
    0.68
    Activations Density 0.577%

    No Known Activations