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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. 7-RES-JB
    11. 1876
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    INDEX
    Explanations

    words or phrases related to decisions or future possibilities

    oai_token-act-pair · gpt-3.5-turbo

    comma usage in sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yna
    -0.70
    ãģ®
    -0.69
    èĢħ
    -0.67
    ¬¼
    -0.66
    oub
    -0.66
    Ł
    -0.66
    ivities
    -0.63
    º
    -0.62
    iku
    -0.61
    EO
    -0.61
    POSITIVE LOGITS
     nevertheless
    1.15
     nonetheless
    0.90
     alas
    0.83
     suffice
    0.78
     retaining
    0.76
     namely
    0.73
    Downloadha
    0.72
     there
    0.71
     anecd
    0.71
    tons
    0.71
    Activations Density 0.161%

    No Known Activations