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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. 2-RES-JB
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    Explanations

    phrases containing the expression "en masse"

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "en masse" or related concepts of mass gatherings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nings
    -0.73
     unanswered
    -0.71
    dash
    -0.67
    izoph
    -0.65
    Trend
    -0.65
     Brookings
    -0.64
    nan
    -0.63
    Block
    -0.61
    affles
    -0.60
     Governments
    -0.58
    POSITIVE LOGITS
     masse
    1.15
    aths
    0.78
    ploy
    0.77
    peria
    0.73
    unte
    0.73
    enei
    0.73
    ume
    0.72
    enaries
    0.72
    visor
    0.71
    urch
    0.71
    Activations Density 0.008%

    No Known Activations