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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. 4-RES-JB
    11. 15378
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    Explanations

    terms related to forest and land management activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to environmental management and conservation

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

    No Comments

    Negative Logits
    otten
    -0.80
    jad
    -0.72
    obin
    -0.71
    esta
    -0.71
    sis
    -0.71
    acus
    -0.68
    urn
    -0.67
    aptic
    -0.67
     Rowling
    -0.65
    ulz
    -0.65
    POSITIVE LOGITS
     wildlife
    1.02
     Conservation
    0.98
     Wildlife
    0.98
     vegetation
    0.97
     Fisheries
    0.97
     BLM
    0.92
     habitat
    0.91
     ponds
    0.90
     fisheries
    0.87
     habitats
    0.87
    Activations Density 0.109%

    No Known Activations