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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. 10562
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    Explanations

    code snippets and programming-related words

    oai_token-act-pair · gpt-3.5-turbo

    opening parentheses in code or programming syntax

    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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    No Comments

    Negative Logits
    âĢij
    -0.75
     ransom
    -0.73
    entimes
    -0.72
     handc
    -0.70
     wart
    -0.67
     predic
    -0.66
     incarn
    -0.66
    ylum
    -0.65
     storylines
    -0.65
     whis
    -0.65
    POSITIVE LOGITS
    ...)
    1.03
    ())
    0.99
    default
    0.92
    initial
    0.81
    selected
    0.81
    checked
    0.81
    username
    0.81
    partial
    0.81
    expr
    0.80
    ctx
    0.80
    Activations Density 0.034%

    No Known Activations