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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 23616
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    Explanations

    mentions of the country Malaysia

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Malaysia and its associated contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
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    -0.74
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    ptions
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    POSITIVE LOGITS
     Lumpur
    1.81
     Airlines
    1.40
    awi
    0.88
     airliner
    0.85
     Abdul
    0.84
    colm
    0.82
     airlines
    0.82
    daq
    0.80
     Airways
    0.79
    orean
    0.79
    Activations Density 0.016%

    No Known Activations