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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. 11815
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    Explanations

    phrases or words expressing gratitude or acknowledgment

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude or acknowledgment

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    Negative Logits
    uality
    -0.73
     bald
    -0.71
     chang
    -0.64
     Galile
    -0.62
    ually
    -0.58
     dove
    -0.57
     vision
    -0.56
    agate
    -0.56
     Nanto
    -0.56
    tein
    -0.55
    POSITIVE LOGITS
    advertisement
    0.80
    LOCK
    0.72
    giving
    0.69
     Continue
    0.68
    interstitial
    0.68
    ustration
    0.66
    ा
    0.65
    én
    0.65
    imedia
    0.64
    hya
    0.64
    Activations Density 0.014%

    No Known Activations