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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. 5-RES-JB
    6. 12241
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    INDEX
    Explanations

    terms indicating causality or logical consequences

    oai_token-act-pair · gpt-3.5-turbo

    connective words that indicate causality or consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    terms indicating causality preceded by "and"

    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •conditional activation
    only activates when word is preceded by "and"

    No Comments

    Negative Logits
    igger
    -0.78
    ocene
    -0.72
    POST
    -0.70
    IGHT
    -0.70
    MM
    -0.69
     Golf
    -0.69
     MM
    -0.67
    ISION
    -0.65
    IG
    -0.63
    UD
    -0.63
    POSITIVE LOGITS
    forth
    1.11
     guiActiveUn
    0.80
    é¾įåĸļ士
    0.78
     constitute
    0.78
     accounted
    0.76
     necess
    0.76
     behold
    0.75
     prevented
    0.74
     subjected
    0.74
     proceeded
    0.73
    Activations Density 0.025%

    No Known Activations