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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. 11-RES-JB
    6. 23664
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    Explanations

    phrases related to visits or events happening at a specific time, particularly weekends

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and pauses in speech or writing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    apt
    -1.05
     incub
    -0.90
    Desktop
    -0.83
     KDE
    -0.82
     SAP
    -0.82
     Allaah
    -0.81
     Ven
    -0.79
     disinfect
    -0.79
     vampires
    -0.79
     squid
    -0.78
    POSITIVE LOGITS
     Lewis
    2.79
    Lewis
    2.68
     Elliott
    1.24
     Lloyd
    1.07
     Carroll
    1.07
     Floyd
    1.07
     Hamilton
    1.05
     Elliot
    1.03
     Briggs
    1.03
    Hamilton
    1.03
    Activations Density 0.161%

    No Known Activations