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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. 9-RES-JB
    11. 23182
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    Explanations

    references to a sports team named "Sporting."

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific sports team, Sporting Kansas City

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ered
    -0.99
    iosis
    -0.85
    ering
    -0.77
    escal
    -0.70
    oxy
    -0.70
     Nept
    -0.67
    ipl
    -0.67
    buster
    -0.65
    edd
    -0.65
     deposition
    -0.65
    POSITIVE LOGITS
     Goods
    0.99
     Lisbon
    0.80
    istas
    0.74
     Kansas
    0.74
    hester
    0.73
     KC
    0.73
    KC
    0.69
     Sporting
    0.66
    ivities
    0.65
     goods
    0.65
    Activations Density 0.057%

    No Known Activations