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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. 11261
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    Explanations

    phrases related to different types of habitats for various species

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to habitat or environmental conservation

    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
    ivan
    -0.73
    inness
    -0.72
    ahon
    -0.72
    straight
    -0.70
    ining
    -0.68
    racted
    -0.67
    ochet
    -0.66
    thodox
    -0.63
    Roy
    -0.62
    ripp
    -0.61
    POSITIVE LOGITS
     habitat
    1.27
     habitats
    1.07
    conservancy
    0.80
     dwell
    0.78
     dwelling
    0.77
     ecosystems
    0.77
    ãĤ¼ãĤ¦ãĤ¹
    0.76
     Enhancement
    0.75
     enclosure
    0.74
    wana
    0.72
    Activations Density 0.013%

    No Known Activations