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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. 8-RES-JB
    6. 4459
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    INDEX
    Explanations

    phrases related to extents or quantities

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "a whole" followed by a quantity or descriptor

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nings
    -0.73
    claimed
    -0.69
    thumbnails
    -0.68
     filings
    -0.67
    always
    -0.67
    ensis
    -0.67
    intent
    -0.66
    marks
    -0.66
    peak
    -0.62
    CB
    -0.61
    POSITIVE LOGITS
    heartedly
    1.17
     lot
    1.11
     bunch
    1.08
    hearted
    0.96
     slew
    0.95
     swath
    0.91
    dozen
    0.88
     dozen
    0.85
     heap
    0.84
     LOT
    0.82
    Activations Density 0.039%

    No Known Activations