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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. 4638
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    INDEX
    Explanations

    phrases related to admiration, importance, exceptional qualities, and tragedy

    oai_token-act-pair · gpt-3.5-turbo

    descriptors emphasizing significance and value

    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
    ©¶æ
    -0.94
    runners
    -0.89
    onyms
    -0.81
    thumbnails
    -0.80
    soDeliveryDate
    -0.79
    osponsors
    -0.78
    headers
    -0.77
    ernels
    -0.75
    viks
    -0.75
     teasp
    -0.73
    POSITIVE LOGITS
     institution
    1.28
     endeavor
    1.20
     undertaking
    1.19
     endeavour
    1.03
     piece
    1.02
     masterpiece
    1.01
     accomplishment
    1.00
     tale
    0.99
     creature
    0.98
     project
    0.98
    Activations Density 0.233%

    No Known Activations