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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. 4263
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    INDEX
    Explanations

    names of people and statements related to their appearances in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "appeared"

    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
    dp
    -0.73
    sted
    -0.71
    brace
    -0.71
    ricular
    -0.70
    shaw
    -0.70
    EStreamFrame
    -0.69
    rient
    -0.69
    pping
    -0.69
    cise
    -0.68
     grieving
    -0.66
    POSITIVE LOGITS
    DragonMagazine
    0.87
    Magikarp
    0.85
    Pause
    0.78
     Minion
    0.77
    PLA
    0.75
    lihood
    0.74
    Coin
    0.72
    ANE
    0.71
     Colbert
    0.70
     contradictions
    0.67
    Activations Density 0.037%

    No Known Activations