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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. 12-RES-JB
    11. 4580
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    Explanations

    safety-related activities and precautions

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases related to safety and risk management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lerner
    -0.96
     Ezek
    -0.84
     Stafford
    -0.83
    ioch
    -0.82
     Ludwig
    -0.82
    oyer
    -0.80
    à¦
    -0.78
     Ezekiel
    -0.77
     Å
    -0.76
    oÄŁan
    -0.76
    POSITIVE LOGITS
     swim
    2.15
     surfing
    2.06
     surf
    2.03
     Swim
    1.99
     Surf
    1.97
     swimming
    1.95
     shark
    1.88
     sharks
    1.84
     beach
    1.82
     Shark
    1.71
    Activations Density 0.687%

    No Known Activations