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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. 6-RES-JB
    6. 23101
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to specific technologies or software applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Entered
    -0.96
     Hogan
    -0.61
     Floyd
    -0.57
     seism
    -0.56
     Hutchinson
    -0.54
     Fang
    -0.53
     Ung
    -0.52
     Gutenberg
    -0.51
     Vaughan
    -0.51
     Ulster
    -0.50
    POSITIVE LOGITS
     itself
    0.72
    ktop
    0.62
    orean
    0.61
    orea
    0.58
     teasp
    0.57
    brids
    0.56
    ngth
    0.55
    Condition
    0.55
    rect
    0.55
    shapeshifter
    0.55
    Activations Density 1.825%

    No Known Activations