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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. 2-RES-JB
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    Explanations

    names of locations, particularly in Brazil

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations, particularly cities and regions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    NESS
    -0.69
    othy
    -0.68
    hound
    -0.68
    bear
    -0.67
    Lew
    -0.67
    ocaust
    -0.65
    bread
    -0.65
    bearing
    -0.65
    morph
    -0.63
     horm
    -0.63
    POSITIVE LOGITS
     Paulo
    1.55
     Janeiro
    1.03
     Lumpur
    0.95
    ão
    0.93
     Sao
    0.92
    ascus
    0.84
     Nieto
    0.80
     Bras
    0.78
    acas
    0.77
     Paso
    0.77
    Activations Density 0.004%

    No Known Activations