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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. 10354
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    INDEX
    Explanations

    phrases or sentences related to completing or putting full effort into something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating extreme actions or efforts

    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
    omnia
    -0.83
     IMAGES
    -0.78
    DERR
    -0.77
    terday
    -0.73
     Annotations
    -0.73
    href
    -0.71
    aturday
    -0.68
    ividual
    -0.67
    arenthood
    -0.66
    lication
    -0.66
    POSITIVE LOGITS
     proverbial
    1.09
     iceberg
    1.02
     bricks
    1.00
     sails
    0.99
     ropes
    0.98
     curtain
    0.97
     rope
    0.96
     rabbit
    0.93
     wagon
    0.93
     barrel
    0.91
    Activations Density 0.715%

    No Known Activations