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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

    references to geographical locations, with a focus on mentions of Australia

    oai_token-act-pair · gpt-3.5-turbo

    any mentions of 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
    nin
    -0.68
    colored
    -0.68
    ses
    -0.67
     leveled
    -0.67
    hner
    -0.66
    stack
    -0.66
    luster
    -0.65
    rano
    -0.65
    OHN
    -0.62
     fram
    -0.61
    POSITIVE LOGITS
     Australia
    3.65
    Australia
    3.38
     Australians
    2.79
     Australian
    2.65
    Australian
    2.59
    Austral
    2.51
     Canberra
    2.35
     Tasmania
    2.33
     Queensland
    2.24
     NSW
    2.19
    Activations Density 0.017%

    No Known Activations