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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 2280
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    Explanations

    references to tear gas

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "tear" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yrinth
    -0.69
    night
    -0.68
    eton
    -0.68
     traveler
    -0.63
    orea
    -0.61
    hran
    -0.61
    merce
    -0.60
    ItemTracker
    -0.60
    Demand
    -0.59
    animous
    -0.59
    POSITIVE LOGITS
    adoes
    1.05
    bow
    1.01
    bows
    0.99
    ful
    0.95
    fully
    0.93
    away
    0.87
    stained
    0.86
    utic
    0.83
    bian
    0.75
     stained
    0.75
    Activations Density 0.019%

    No Known Activations