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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. 0-RES-JB
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    Explanations

    the name "Patterson" and various other associated phrases

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     videog
    -0.81
    Occup
    -0.80
     steam
    -0.79
    steam
    -0.77
     med
    -0.74
    姫
    -0.72
    Steam
    -0.71
     Dota
    -0.71
     hammer
    -0.70
     maid
    -0.70
    POSITIVE LOGITS
     Patterson
    3.46
    terson
    1.68
     Pearson
    1.65
     Pryor
    1.54
     Tyson
    1.39
     TCU
    1.38
     Lowry
    1.30
     Duffy
    1.25
     Frazier
    1.23
     Pruitt
    1.19
    Activations Density 0.040%

    No Known Activations