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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. 0-RES-JB
    6. 23936
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    Explanations

    words related to expressing gratitude or understanding

    oai_token-act-pair · gpt-3.5-turbo

    terms related to apologies and appreciation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ersion
    -0.93
    agus
    -0.81
    enegger
    -0.78
    UNE
    -0.75
    UGC
    -0.75
    Increase
    -0.74
    Ranked
    -0.73
    define
    -0.71
     Minotaur
    -0.71
     RTX
    -0.71
    POSITIVE LOGITS
     apolog
    3.14
     appreci
    1.81
    apolog
    1.59
     stal
    1.46
     desp
    1.38
     irre
    1.25
     coy
    1.17
     strateg
    1.10
     congrat
    1.06
     opportun
    1.04
    Activations Density 0.048%

    No Known Activations