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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. 7-RES-JB
    11. 18882
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    Explanations

    phrases related to physical activities or movements, particularly in indoor environments

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of physical movements and accessibility-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     underestimated
    -0.70
    Sin
    -0.68
     prophe
    -0.64
     acron
    -0.63
     Myster
    -0.63
     fragment
    -0.63
    isman
    -0.63
     DPR
    -0.62
    isSpecialOrderable
    -0.62
     prophecy
    -0.61
    POSITIVE LOGITS
     beds
    1.13
     meals
    1.12
     meal
    1.01
     supper
    1.01
     sleeping
    0.99
     picnic
    0.97
     outdoor
    0.94
     dining
    0.93
     dinner
    0.92
     seating
    0.92
    Activations Density 1.089%

    No Known Activations