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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. 8-RES-JB
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    Explanations

    mentions of forestry terms or activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of forests and related terminology

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Extra
    -0.66
    soever
    -0.64
    OPLE
    -0.64
    HK
    -0.63
    figure
    -0.62
    enger
    -0.61
    pter
    -0.61
    Arcade
    -0.60
    Magikarp
    -0.60
    realDonaldTrump
    -0.59
    POSITIVE LOGITS
    lands
    0.94
     canopy
    0.93
    lake
    0.91
    forest
    0.90
    ocene
    0.87
     forests
    0.83
     vegetation
    0.80
    ãĤ¼ãĤ¦ãĤ¹
    0.79
     forest
    0.77
    alling
    0.77
    Activations Density 0.037%

    No Known Activations