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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. 5-RES-JB
    6. 18915
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    Explanations

    references to the city of Miami

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Miami

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebook
    -0.81
    uably
    -0.81
     guiActiveUn
    -0.80
    UGC
    -0.80
    sed
    -0.73
    onomic
    -0.72
    rss
    -0.71
    ses
    -0.70
    uing
    -0.70
    REE
    -0.70
    POSITIVE LOGITS
     Beach
    1.13
     Dolphins
    1.07
     Gardens
    1.04
     Marlins
    1.00
     Hurricanes
    0.99
    ricanes
    0.91
     Heat
    0.88
     Herald
    0.81
     Harbour
    0.76
     Lakes
    0.75
    Activations Density 0.013%

    No Known Activations