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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. 4-RES-JB
    11. 1494
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    INDEX
    Explanations

    phrases indicating uncertainty or lack of necessity

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the word "necessarily."

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

    No Comments

    Negative Logits
    banks
    -0.87
    rity
    -0.76
    iry
    -0.72
    board
    -0.71
    nan
    -0.71
    met
    -0.70
    tein
    -0.69
    rik
    -0.68
    fil
    -0.68
    ults
    -0.67
    POSITIVE LOGITS
     necessarily
    0.95
     necess
    0.90
     detract
    0.79
     identifiable
    0.78
     guiActiveUn
    0.78
     materially
    0.75
    necess
    0.75
     predis
    0.73
     preclude
    0.72
     rely
    0.72
    Activations Density 0.011%

    No Known Activations