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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. 9648
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    Explanations

    commands or instructions in a technical context

    oai_token-act-pair · gpt-3.5-turbo

    colons followed by instructions or statements in technical contexts

    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
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    Negative Logits
     insurer
    -0.78
     eaves
    -0.75
     trouble
    -0.73
     troubles
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    undai
    -0.68
    illance
    -0.67
     oversight
    -0.65
    yan
    -0.65
     tremend
    -0.65
     reservation
    -0.64
    POSITIVE LOGITS
     Provided
    1.01
     https
    0.98
     http
    0.97
     Logged
    0.90
    YES
    0.89
    https
    0.86
    http
    0.85
     namely
    0.80
    $$$$
    0.80
    76561
    0.79
    Activations Density 0.152%

    No Known Activations