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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. 1401
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    INDEX
    Explanations

    implicature marks often used in newspaper articles, such as 'Ċ'

    oai_token-act-pair · gpt-3.5-turbo

    statements related to political discourse and opinions

    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
    xual
    -0.96
     ageing
    -0.81
     endeavour
    -0.77
     practise
    -0.72
     sustainability
    -0.70
     recognise
    -0.70
     neighbourhood
    -0.70
     flats
    -0.69
     inactive
    -0.67
     citiz
    -0.67
    POSITIVE LOGITS
    TRUMP
    1.06
    GOP
    1.06
    Trump
    1.06
    Republican
    1.03
    Romney
    1.01
    WASHINGTON
    1.00
    CNN
    1.00
    PHOTOS
    0.99
    Clinton
    0.96
    Washington
    0.94
    Activations Density 0.399%

    No Known Activations