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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. 11761
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    Explanations

    dates in the format of years

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "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 @ 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
    natureconservancy
    -0.99
    BIL
    -0.83
    ellectual
    -0.71
    ela
    -0.69
    sic
    -0.69
    Reason
    -0.67
    Ds
    -0.67
    é¾įå
    -0.66
     Doodle
    -0.66
    uci
    -0.66
    POSITIVE LOGITS
     onwards
    1.17
     thereafter
    1.14
     onward
    1.10
     again
    1.07
     2010
    1.07
     2012
    1.06
     2011
    1.04
     2014
    1.04
     beyond
    1.04
     2013
    1.04
    Activations Density 0.115%

    No Known Activations