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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. 6150
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    Explanations

    names of sports teams or individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people, places, or organizations

    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
    orate
    -0.79
    iard
    -0.77
    ulhu
    -0.65
    arding
    -0.63
    oard
    -0.63
    inez
    -0.62
    izons
    -0.62
    LEASE
    -0.61
    raising
    -0.60
    illard
    -0.60
    POSITIVE LOGITS
    cliffe
    0.84
    plings
    0.83
    pling
    0.78
    rano
    0.77
    ority
    0.76
    atchewan
    0.76
    eways
    0.75
    atoon
    0.74
    ustain
    0.73
    ificant
    0.72
    Activations Density 0.188%

    No Known Activations