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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. 8872
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    Explanations

    sentences ending in periods, indicating complete thoughts or statements

    oai_token-act-pair · gpt-3.5-turbo

    sentence endings and punctuation

    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
     hust
    -0.73
     tremend
    -0.69
     scourge
    -0.68
     diseng
    -0.65
     overboard
    -0.64
     heav
    -0.64
     addon
    -0.63
     safe
    -0.63
     whist
    -0.62
     mammoth
    -0.62
    POSITIVE LOGITS
     Lastly
    1.09
     Additionally
    1.07
     Anyway
    1.06
     Afterwards
    1.06
     However
    1.05
     Furthermore
    1.03
     Moreover
    1.01
     Therefore
    1.00
     Alternatively
    0.99
     Eventually
    0.97
    Activations Density 0.681%

    No Known Activations