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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. 4-RES-JB
    6. 6931
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    Explanations

    phrases indicating the absence of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express the absence or lack of something

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    seless
    -0.77
    rex
    -0.72
    plex
    -0.69
    staking
    -0.67
    ancouver
    -0.66
    yrinth
    -0.65
    ward
    -0.63
    gal
    -0.63
    Bee
    -0.62
    visor
    -0.61
    POSITIVE LOGITS
    THING
    1.28
    ones
    0.95
     longer
    0.89
    WHERE
    0.89
     particular
    0.88
    ONE
    0.88
    place
    0.85
     significant
    0.85
     other
    0.83
     meaningful
    0.83
    Activations Density 0.063%

    No Known Activations