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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. 3150
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    Explanations

    mentions of locations or geographical areas, particularly focusing on the Bay Area

    oai_token-act-pair · gpt-3.5-turbo

    mentions of locations within the Bay Area

    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
    vous
    -0.95
    wcsstore
    -0.92
    etsk
    -0.84
    racuse
    -0.81
    icates
    -0.81
    oting
    -0.80
    ansson
    -0.79
    pter
    -0.78
    lio
    -0.78
    arget
    -0.77
    POSITIVE LOGITS
     Area
    1.07
     Rapid
    0.89
     Peninsula
    0.78
     Regional
    0.78
     Sevent
    0.73
     Areas
    0.72
     area
    0.72
     Circuit
    0.69
     Authority
    0.68
     Extension
    0.68
    Activations Density 0.019%

    No Known Activations