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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
    11. 14007
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    Explanations

    names or terms possibly related to German or European contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "von" and associated figures

    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
    robe
    -0.83
     locker
    -0.81
     Taco
    -0.80
     Mortal
    -0.70
     Colt
    -0.70
    essional
    -0.69
     Pistol
    -0.69
     Texans
    -0.67
    MEN
    -0.67
     Offense
    -0.67
    POSITIVE LOGITS
     von
    2.44
     Ivan
    1.42
     Pere
    1.41
     Johann
    1.24
     gull
    1.22
     McDonnell
    1.21
    azaki
    1.04
    ramer
    1.02
     stranded
    1.02
     Epstein
    1.02
    Activations Density 0.026%

    No Known Activations