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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 22280
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    INDEX
    Explanations

    words related to news broadcasting and media personalities

    oai_token-act-pair · gpt-3.5-turbo

    references to news hosts and their segments

    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
    byss
    -0.83
     ILCS
    -0.83
     envis
    -0.80
     wards
    -0.78
     parcels
    -0.74
     LTD
    -0.73
     labou
    -0.73
     signatures
    -0.73
    ICT
    -0.69
     Agric
    -0.69
    POSITIVE LOGITS
     MSNBC
    1.67
     Hannity
    1.44
     Colbert
    1.42
     CNN
    1.41
     CNBC
    1.40
     NBC
    1.33
     Kimmel
    1.31
    NBC
    1.31
    CNN
    1.28
     Comedy
    1.26
    Activations Density 0.637%

    No Known Activations