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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. 14243
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    Explanations

    words related to caution and warning

    oai_token-act-pair · gpt-3.5-turbo

    references to caution and warnings in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    plex
    -0.62
    mitt
    -0.62
     seams
    -0.59
     ingred
    -0.58
    ettle
    -0.57
    haul
    -0.56
    JECT
    -0.56
    Interstitial
    -0.55
    leased
    -0.55
     clay
    -0.55
    POSITIVE LOGITS
    ary
    1.39
    arily
    0.96
    ARY
    0.94
    autions
    0.91
    aries
    0.89
     caution
    0.89
    urous
    0.88
    ously
    0.87
    abl
    0.85
    udic
    0.84
    Activations Density 0.040%

    No Known Activations