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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. 3-RES-JB
    11. 6070
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    Explanations

    mentions of specific cities, with a focus on Copenhagen

    oai_token-act-pair · gpt-3.5-turbo

    mentions of cities, particularly Copenhagen and Stockholm

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ::::::::
    -0.76
    ONSORED
    -0.71
    etitive
    -0.69
    arent
    -0.66
    ECH
    -0.63
    ICAN
    -0.63
    rieved
    -0.62
    ittee
    -0.62
    Ü
    -0.61
    REE
    -0.61
    POSITIVE LOGITS
     Lumpur
    1.21
    ascus
    0.83
    mouth
    0.83
     Municip
    0.83
     Manila
    0.79
     mayoral
    0.79
    ites
    0.79
     metro
    0.78
     skyline
    0.78
     Aires
    0.76
    Activations Density 0.036%

    No Known Activations