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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. 14041
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    INDEX
    Explanations

    mentions of time and activities related to spending or allocating resources

    oai_token-act-pair · gpt-3.5-turbo

    phrases that mention the action of spending

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Not in Any Lists

    No Comments

    Negative Logits
     Seymour
    -0.63
     Conan
    -0.61
     conver
    -0.57
     Watson
    -0.57
    peer
    -0.56
     caveat
    -0.56
     Ashe
    -0.56
     Kirin
    -0.56
     crawl
    -0.55
     Parade
    -0.55
    POSITIVE LOGITS
    itures
    1.10
    iture
    0.94
     lav
    0.90
     IPM
    0.87
    edIn
    0.82
    ãĤ£
    0.80
    ornings
    0.76
     beads
    0.74
     Spend
    0.71
    #$#$
    0.70
    Activations Density 0.037%

    No Known Activations