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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. 6-RES-JB
    11. 7375
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    INDEX
    Explanations

    references to academic journal articles

    oai_token-act-pair · gpt-3.5-turbo

    references to journals and publications, particularly in the context of political science and conflict studies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    estones
    -0.71
    ulia
    -0.70
    orate
    -0.67
    execute
    -0.67
    ttle
    -0.66
    ardless
    -0.65
     blat
    -0.64
     chests
    -0.63
    glers
    -0.62
    ndra
    -0.62
    POSITIVE LOGITS
    1016
    0.89
     suppl
    0.84
     doi
    0.81
     DOI
    0.76
     Obst
    0.71
    pg
    0.68
    Ń·
    0.68
     pg
    0.67
    1007
    0.67
     Retrieved
    0.67
    Activations Density 0.048%

    No Known Activations