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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. 15748
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    Explanations

    phrases related to a series of events or incidents

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a repetitive or series of events or actions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    vantage
    -0.87
    rium
    -0.81
    Ability
    -0.72
    toc
    -0.71
    urden
    -0.70
    mith
    -0.69
    vana
    -0.69
    epad
    -0.69
    uana
    -0.68
    obook
    -0.68
    POSITIVE LOGITS
     incidents
    1.32
     scandals
    1.32
     setbacks
    1.29
     occasions
    1.27
     controversies
    1.26
     attempts
    1.22
     arrests
    1.22
     lawsuits
    1.19
     instances
    1.17
     unsuccessful
    1.17
    Activations Density 0.231%

    No Known Activations