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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. 11-RES-JB
    6. 16884
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    Explanations

    words related to expressions such as "Well," or "Do," that are commonly used at the beginning of sentences for emphasis or to introduce a new idea

    oai_token-act-pair · gpt-3.5-turbo

    conversational prompts or interjections that initiate statements or questions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     **
    -0.89
    âĢķ
    -0.83
     [[
    -0.82
     (*
    -0.82
    ãĢİ
    -0.81
    Âł
    -0.81
     ****
    -0.79
    -"
    -0.77
    â̦"
    -0.76
     ______
    -0.76
    POSITIVE LOGITS
    resa
    1.17
    zens
    1.15
    anmar
    1.14
    anamo
    0.96
     RandomRedditor
    0.96
    Ė
    0.96
    ø
    0.96
    û
    0.96
    Ğ
    0.96
    ċ
    0.96
    Activations Density 0.305%

    No Known Activations