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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. 0-RES-JB
    11. 15779
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    Explanations

    long, impactful words

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "word" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hutch
    -0.68
     Parish
    -0.62
     mirrors
    -0.61
     households
    -0.60
     incl
    -0.60
     rain
    -0.60
     Centers
    -0.60
     Ara
    -0.59
     centers
    -0.58
     donor
    -0.57
    POSITIVE LOGITS
    word
    4.63
    words
    3.31
    Word
    2.29
     word
    1.84
    phrase
    1.69
    Words
    1.57
     Word
    1.53
     Words
    1.46
    letter
    1.39
     words
    1.32
    Activations Density 0.015%

    No Known Activations