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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. 5-RES-JB
    6. 9539
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    Explanations

    phrases related to controversial or polarizing topics

    oai_token-act-pair · gpt-3.5-turbo

    topics related to social issues and controversial historical events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Poké
    -0.58
    itar
    -0.56
     explor
    -0.56
     fray
    -0.56
     scram
    -0.56
     zoom
    -0.54
     map
    -0.53
     ambient
    -0.52
     grunt
    -0.52
     siege
    -0.52
    POSITIVE LOGITS
    instead
    0.84
     THEN
    0.73
     thereby
    0.70
    terday
    0.67
    hovah
    0.65
    Instead
    0.63
    rather
    0.63
     Instead
    0.62
    ardless
    0.61
     Therefore
    0.59
    Activations Density 1.675%

    No Known Activations