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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. 11-RES-JB
    11. 13053
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    Explanations

    phrases related to taking action to prevent negative events or violations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to prevention and safety measures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    ellen
    -0.68
     impecc
    -0.66
    basic
    -0.63
    FINE
    -0.60
    +,
    -0.59
    LIB
    -0.59
    BAT
    -0.59
     consists
    -0.59
    cise
    -0.58
     beautifully
    -0.58
    POSITIVE LOGITS
     repeat
    1.15
     undue
    1.07
     repetition
    1.04
     unnecessarily
    1.03
     pitfalls
    1.00
     unintended
    0.97
     misunderstand
    0.97
     duplication
    0.96
     future
    0.95
     relapse
    0.93
    Activations Density 0.357%

    No Known Activations