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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. 2-RES-JB
    6. 19882
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    Explanations

    references to physical locations of halls

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of halls or venues

    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
    ossibility
    -0.68
    vernment
    -0.67
    itars
    -0.66
    olitics
    -0.64
    uyomi
    -0.61
    ombies
    -0.59
     Him
    -0.58
    ften
    -0.58
     Prediction
    -0.57
     Eug
    -0.57
    POSITIVE LOGITS
     hall
    1.22
    ways
    1.14
    marks
    1.06
     halls
    1.05
    iday
    1.02
    owed
    1.01
    way
    0.95
    ibur
    0.93
    naires
    0.92
    WAY
    0.91
    Activations Density 0.009%

    No Known Activations