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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. 1707
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    Explanations

    phrases related to physical or abstract damage and harm

    oai_token-act-pair · gpt-3.5-turbo

    references to damage and its effects

    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
    KER
    -0.73
    zsche
    -0.71
    urn
    -0.70
    zee
    -0.69
     foss
    -0.66
    chron
    -0.66
    tre
    -0.65
    zl
    -0.63
    ullivan
    -0.63
     Sunrise
    -0.61
    POSITIVE LOGITS
     inflicted
    1.33
     wrought
    1.10
     caused
    1.04
     done
    1.04
     incurred
    1.02
     sustained
    0.99
    onies
    0.87
     perpetrated
    0.86
     Done
    0.85
     mitigation
    0.84
    Activations Density 0.089%

    No Known Activations