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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. 9-RES-JB
    11. 17516
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    Explanations

    verbs related to observation or discovery

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to perception and observation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    hement
    -0.73
    rid
    -0.61
    travel
    -0.58
     Dickinson
    -0.57
    tri
    -0.57
    tan
    -0.56
    shoot
    -0.55
    urb
    -0.55
    stant
    -0.55
    hero
    -0.54
    POSITIVE LOGITS
     happening
    0.90
     happen
    0.76
     constitutes
    0.75
    ãĤ´
    0.72
    owicz
    0.70
     happened
    0.69
    advertisement
    0.69
     happens
    0.68
    rous
    0.67
     Means
    0.67
    Activations Density 0.167%

    No Known Activations