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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. 10-RES-JB
    11. 23387
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    Explanations

    phrases related to causing harm, damage, or problems

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating causes and their effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dated
    -0.67
     confidently
    -0.65
    abase
    -0.64
    uthor
    -0.62
     wisely
    -0.62
    ciples
    -0.61
     Strategies
    -0.61
     Guide
    -0.60
     coached
    -0.60
     Practices
    -0.60
    POSITIVE LOGITS
     havoc
    1.42
     headaches
    1.21
     mayhem
    1.13
     uproar
    1.11
     damage
    1.10
     distress
    1.10
     disturbance
    1.09
     harm
    1.08
     disruption
    1.08
     panic
    1.06
    Activations Density 0.116%

    No Known Activations