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    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. 5314
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    INDEX
    Explanations

    conjunctions, specifically the word "and"

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" in various contexts

    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
    REDACTED
    -0.69
    panel
    -0.69
    successfully
    -0.69
    .*
    -0.65
     ®
    -0.64
    ential
    -0.63
    imum
    -0.63
    reference
    -0.62
    piring
    -0.62
    Fed
    -0.61
    POSITIVE LOGITS
     blah
    1.14
     stuff
    1.02
     everybody
    0.97
    romeda
    0.97
     yeah
    0.95
     maybe
    0.94
     hopefully
    0.89
     THEN
    0.88
     secondly
    0.86
     everything
    0.83
    Activations Density 0.360%

    No Known Activations