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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. 4696
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    Explanations

    mentions of a specific athlete named "Judo"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to judo and its competitive context

    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
    CBC
    -0.70
    xon
    -0.70
    CRE
    -0.67
     Alz
    -0.66
     Niger
    -0.66
     Lyme
    -0.65
    WAYS
    -0.65
    riott
    -0.65
    Spoiler
    -0.63
     ISIL
    -0.62
    POSITIVE LOGITS
    gement
    1.37
    gments
    1.28
     Jud
    1.19
    gements
    1.07
    gment
    1.04
     jud
    0.96
    icator
    0.90
    iciary
    0.89
    itsu
    0.89
    jud
    0.88
    Activations Density 0.005%

    No Known Activations