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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

    mentions of geographic locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of locations, particularly in Australia

    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
     armor
    -0.82
     honor
    -0.79
    colored
    -0.77
    --
    -0.76
     theater
    -0.74
     color
    -0.73
     favor
    -0.71
     favors
    -0.71
     analy
    -0.70
    gel
    -0.69
    POSITIVE LOGITS
     Queensland
    3.84
     NSW
    2.96
     Brisbane
    2.92
     Tasmania
    2.41
     Canberra
    2.31
    Australian
    2.27
     NRL
    2.27
     Australians
    2.13
    Australia
    2.13
     Melbourne
    2.06
    Activations Density 0.051%

    No Known Activations