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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 7870
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    INDEX
    Explanations

    explanations or statements within text

    oai_token-act-pair · gpt-3.5-turbo

    phrases or statements about predictions and intentions

    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
    Specifically
    -0.75
    Suggest
    -0.74
    Analy
    -0.72
    Indeed
    -0.71
    DIT
    -0.71
    suggest
    -0.71
    Recommend
    -0.68
    phasis
    -0.68
     explan
    -0.67
    Materials
    -0.67
    POSITIVE LOGITS
     immortality
    1.09
     Elvis
    0.96
     Adolf
    0.93
    thood
    0.92
     afterlife
    0.89
     Kobe
    0.88
     Jesus
    0.88
     Oprah
    0.88
     Peyton
    0.87
     heaven
    0.87
    Activations Density 0.587%

    No Known Activations