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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. 4446
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    Explanations

    phrases related to themes or main points in written content

    oai_token-act-pair · gpt-3.5-turbo

    discussions around values and principles in decision-making

    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
     Judd
    -0.67
     Jaguar
    -0.64
     unanim
    -0.64
     Jeb
    -0.63
     CBS
    -0.63
     JPM
    -0.63
     Vera
    -0.63
     Revision
    -0.62
     confirmed
    -0.62
     Zimmerman
    -0.62
    POSITIVE LOGITS
    asuring
    0.85
    otion
    0.81
    ãĤ¹
    0.78
     empowering
    0.76
    irection
    0.72
    otional
    0.72
    porate
    0.71
    iving
    0.70
    TYPE
    0.70
    centered
    0.69
    Activations Density 0.512%

    No Known Activations