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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. 6-RES-JB
    6. 5350
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    Explanations

    phrases related to news and media publications

    oai_token-act-pair · gpt-3.5-turbo

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    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
    ardless
    -0.53
    emale
    -0.47
    tumblr
    -0.45
     steroids
    -0.44
     selves
    -0.44
     blah
    -0.43
     anthem
    -0.42
     overwhel
    -0.42
     equivalents
    -0.42
     Kardash
    -0.42
    POSITIVE LOGITS
     Investigative
    0.56
    itbart
    0.48
     Judicial
    0.47
     Architects
    0.47
    heastern
    0.47
    Bloomberg
    0.46
     Securities
    0.46
     Tablet
    0.46
     RAND
    0.46
    Media
    0.45
    Activations Density 1.113%

    No Known Activations