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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. 16810
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    INDEX
    Explanations

    phrases indicating clarification or explanation

    oai_token-act-pair · gpt-3.5-turbo

    conditional statements and qualifications in the text

    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
     awoken
    -0.76
    anded
    -0.72
    accompan
    -0.65
    handled
    -0.62
    fed
    -0.61
    footed
    -0.61
    figured
    -0.59
    oru
    -0.57
     voic
    -0.57
    ļéĨĴ
    -0.57
    POSITIVE LOGITS
     necessarily
    0.88
     exaggeration
    0.86
     anymore
    0.81
     exagger
    0.76
     lightly
    0.71
     dissu
    0.71
    imilar
    0.71
    azes
    0.69
     discouraged
    0.69
     anything
    0.68
    Activations Density 0.414%

    No Known Activations