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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. 9-RES-JB
    6. 15141
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    Explanations

    areas related to war and conflict

    oai_token-act-pair · gpt-3.5-turbo

    instances of expressive and emotional language

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     funnel
    -0.94
     payroll
    -0.85
     orchestr
    -0.83
     migration
    -0.82
     advancing
    -0.79
     aggreg
    -0.79
     repatri
    -0.78
     uranium
    -0.78
     encomp
    -0.78
     consolid
    -0.78
    POSITIVE LOGITS
    Advertisements
    1.59
    Anyway
    1.58
    Trivia
    1.55
    Yeah
    1.53
    RAW
    1.51
    Reply
    1.49
    Anonymous
    1.47
    Okay
    1.40
    Posts
    1.40
    Sometimes
    1.39
    Activations Density 0.373%

    No Known Activations