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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. 6-RES-JB
    11. 696
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    Explanations

    mentions of the city of Boston or things related to Boston

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Boston and its associated sports teams

    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
    Not in Any Lists

    No Comments

    Negative Logits
    merce
    -0.90
    uador
    -0.89
    awaru
    -0.82
    uling
    -0.78
    earchers
    -0.76
    ocene
    -0.75
    ongyang
    -0.75
    udic
    -0.74
    orsche
    -0.74
    ktop
    -0.74
    POSITIVE LOGITS
     Harbor
    1.12
     Celtics
    1.11
     Bruins
    1.05
     Globe
    1.04
     Dynamics
    1.00
     Marathon
    0.99
     Garden
    0.94
     2024
    0.93
     Consulting
    0.89
     College
    0.82
    Activations Density 0.015%

    No Known Activations