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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. 10-RES-JB
    6. 2006
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    INDEX
    Explanations

    quantitative data related to various categories such as economy, agriculture, and taxes

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "In" followed by numerical data or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ingred
    -0.77
     haun
    -0.64
     behav
    -0.64
     disapp
    -0.63
     medd
    -0.63
     enthus
    -0.63
     nurt
    -0.62
     haunt
    -0.61
    Enlarge
    -0.60
    enance
    -0.59
    POSITIVE LOGITS
     addition
    1.47
     comparison
    1.46
     contrast
    1.40
    flation
    1.27
    cluding
    1.25
    ventory
    1.24
    juries
    1.22
     terms
    1.18
     total
    1.12
    jury
    1.05
    Activations Density 0.111%

    No Known Activations