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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. 7-RES-JB
    11. 13798
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    Explanations

    phrases related to legal matters and criminal activities

    oai_token-act-pair · gpt-3.5-turbo

    sentences that provide conclusions or statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pport
    -0.69
     bedrooms
    -0.68
    isphere
    -0.66
    ggle
    -0.63
     academy
    -0.63
    ctrl
    -0.62
    orescence
    -0.61
     acad
    -0.59
    auga
    -0.59
     combatants
    -0.59
    POSITIVE LOGITS
     His
    1.14
     He
    1.02
     She
    0.88
    His
    0.85
     Meanwhile
    0.79
     Ironically
    0.78
     Himself
    0.75
     Sitting
    0.75
     Tens
    0.75
     Said
    0.75
    Activations Density 0.802%

    No Known Activations