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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. 10-RES-JB
    11. 8078
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    Explanations

    words related to sports teams, specifically referencing Boston-based teams like the Celtics and Bruins

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Boston sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uador
    -0.82
    orsche
    -0.80
    merce
    -0.78
    pter
    -0.74
    aphael
    -0.73
    ptions
    -0.72
    CVE
    -0.72
    gypt
    -0.72
    loading
    -0.71
    uling
    -0.70
    POSITIVE LOGITS
     Celtics
    1.25
     Globe
    1.25
     Bruins
    1.21
     Harbor
    1.16
     Dynamics
    1.16
     Marathon
    1.15
     Consulting
    1.02
     2024
    0.99
     Garden
    0.99
     College
    0.97
    Activations Density 0.025%

    No Known Activations