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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. 266
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    Explanations

    phrases related to taking action to prevent negative outcomes

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "prevent" and its related forms

    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
    kept
    -0.78
    framework
    -0.75
    bard
    -0.71
     Rated
    -0.70
    ledged
    -0.70
    vez
    -0.69
    lene
    -0.69
    çĦ
    -0.69
    verning
    -0.68
    CV
    -0.68
    POSITIVE LOGITS
     tragedies
    1.01
     accidental
    0.99
     future
    0.97
     disasters
    0.97
     suicides
    0.97
     bloodshed
    0.96
    ative
    0.94
     misuse
    0.94
     accidents
    0.93
     regress
    0.91
    Activations Density 0.077%

    No Known Activations