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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. 3-RES-JB
    11. 16201
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    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     overrun
    -0.73
     maternity
    -0.71
     qualitative
    -0.69
     hospitality
    -0.69
     welcome
    -0.69
     millenn
    -0.69
     invaders
    -0.69
    rers
    -0.67
     misunderstood
    -0.67
     punitive
    -0.66
    POSITIVE LOGITS
    NET
    1.07
    -.
    0.96
    _.
    0.95
     .
    0.86
    wav
    0.85
    sit
    0.83
    Pa
    0.82
    $$
    0.82
    tif
    0.80
    sbm
    0.78
    Activations Density 0.043%

    No Known Activations