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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. 9-RES-JB
    11. 1534
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    Explanations

    proper nouns, likely related to companies, products, or people

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people, organizations, and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     divided
    -0.68
     disputed
    -0.64
     fundamentally
    -0.64
     âĢ¦"
    -0.63
     effectively
    -0.63
     mainly
    -0.63
     disproportionately
    -0.62
     targeted
    -0.62
     mostly
    -0.61
     push
    -0.61
    POSITIVE LOGITS
    tek
    0.87
    Games
    0.86
    avia
    0.86
    ona
    0.85
    anya
    0.85
    isha
    0.84
    itech
    0.84
    ozo
    0.82
    isoft
    0.80
    istar
    0.80
    Activations Density 0.547%

    No Known Activations