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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. 8-RES-JB
    11. 15093
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    Explanations

    mentions of specific locations

    oai_token-act-pair · gpt-3.5-turbo

    references to geographical locations and cultural references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    aya
    -0.86
    ihara
    -0.86
    owsky
    -0.84
    itution
    -0.81
    ida
    -0.81
    IDA
    -0.81
    ila
    -0.79
    ola
    -0.76
    itcher
    -0.76
     Daniels
    -0.75
    POSITIVE LOGITS
    ãĥŃ
    0.76
     livest
    0.76
    geist
    0.75
     hig
    0.73
     Blu
    0.70
     crim
    0.69
     Middle
    0.68
     stair
    0.67
     Whit
    0.67
     whit
    0.67
    Activations Density 0.339%

    No Known Activations