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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. 2-RES-JB
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    Explanations

    locations, specifically focusing on the city of Melbourne

    oai_token-act-pair · gpt-3.5-turbo

    the mention of the city of Melbourne

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Magikarp
    -0.78
    Topic
    -0.73
    road
    -0.73
    BOOK
    -0.72
     holiest
    -0.72
    gger
    -0.72
    duc
    -0.68
    abet
    -0.68
    loading
    -0.67
    vana
    -0.67
    POSITIVE LOGITS
     Lumpur
    0.97
     Melbourne
    0.87
     Gardens
    0.84
    bourne
    0.77
     Tasmania
    0.77
     Brisbane
    0.73
     mosqu
    0.73
     Partners
    0.71
     Ports
    0.69
    enburg
    0.69
    Activations Density 0.004%

    No Known Activations