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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. 9-RES-JB
    6. 10365
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    Explanations

    queries and questions directed towards others

    oai_token-act-pair · gpt-3.5-turbo

    questions and statements related to academic or intellectual discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xtap
    -0.81
    ãĤ´ãĥ³
    -0.75
    theless
    -0.71
     nonetheless
    -0.70
    etheless
    -0.69
     accordingly
    -0.67
     pertinent
    -0.67
    ossibility
    -0.67
     additionally
    -0.66
     unlikely
    -0.66
    POSITIVE LOGITS
     ..."
    1.69
     â̦"
    1.66
    ..."
    1.49
    !'"
    1.47
    ?"
    1.44
    â̦"
    1.43
    ?'"
    1.41
    !"
    1.40
    ?!"
    1.40
    ?'
    1.38
    Activations Density 1.127%

    No Known Activations