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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. 7-RES-JB
    6. 16662
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    Explanations

    locations and addresses

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific property locations and their addresses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     lex
    -0.76
    acters
    -0.73
    20439
    -0.71
    oeuv
    -0.69
    orians
    -0.66
     candles
    -0.66
     introdu
    -0.65
     whip
    -0.64
     chatter
    -0.63
     listeners
    -0.63
    POSITIVE LOGITS
     downtown
    0.96
     southwest
    0.96
    rium
    0.91
     northwest
    0.90
     Lake
    0.86
     northeast
    0.86
     north
    0.86
     Sunset
    0.85
     west
    0.84
     footh
    0.84
    Activations Density 0.307%

    No Known Activations