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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. 3-RES-JB
    11. 9646
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    Explanations

    mentions of media organizations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various media organizations or companies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    comings
    -0.76
    ranch
    -0.75
    ought
    -0.71
    python
    -0.71
     Salvador
    -0.69
    ĻĤ
    -0.69
    manship
    -0.68
     salsa
    -0.67
    ultimate
    -0.66
    aternity
    -0.66
    POSITIVE LOGITS
    Media
    0.97
     outlets
    0.88
     Media
    0.87
     Matters
    0.87
    eval
    0.86
     mog
    0.83
    wiki
    0.82
     VIDEOS
    0.80
    Wiki
    0.80
     Mole
    0.80
    Activations Density 0.019%

    No Known Activations