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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. 5739
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    Explanations

    national parks

    oai_token-act-pair · gpt-3.5-turbo

    references to national parks

    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
    Interstitial
    -0.81
    furt
    -0.70
     gown
    -0.67
    stra
    -0.67
    iating
    -0.66
    boxing
    -0.66
     sockets
    -0.65
     autom
    -0.64
    zos
    -0.63
    IME
    -0.62
    POSITIVE LOGITS
    conservancy
    1.30
     Conservation
    1.17
     conservation
    1.12
     wildlife
    1.11
     habitat
    1.08
     Refuge
    1.06
     biodiversity
    1.04
     habitats
    1.03
     vegetation
    1.02
     ecosystems
    1.00
    Activations Density 0.283%

    No Known Activations