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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 15307
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    Explanations

    references to specific geographical locations, particularly cities or states

    oai_token-act-pair · gpt-3.5-turbo

    references to specific cities or locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Nest
    -0.69
     investors
    -0.67
     Snapchat
    -0.65
     HIP
    -0.64
     Di
    -0.60
    Maximum
    -0.60
     Clement
    -0.60
     Couch
    -0.59
     Tat
    -0.59
     Cor
    -0.59
    POSITIVE LOGITS
    terday
    1.12
    ãĤ´ãĥ³
    1.10
    jriwal
    1.07
    ulhu
    1.03
    ascus
    1.02
    orgetown
    1.01
    atchewan
    1.00
    foundland
    1.00
    gomery
    1.00
    mingham
    0.99
    Activations Density 0.077%

    No Known Activations