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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 12597
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    Explanations

    terms related to environmental issues

    oai_token-act-pair · gpt-3.5-turbo

    mentions of environmental issues and topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ching
    -0.76
    oning
    -0.75
    strap
    -0.75
    urn
    -0.73
    roe
    -0.72
    ilts
    -0.71
    oons
    -0.70
    rams
    -0.70
    loading
    -0.70
    xus
    -0.70
    POSITIVE LOGITS
     environmental
    1.03
     hazards
    1.01
     sustainability
    0.99
     environment
    0.96
     stewards
    0.92
     disasters
    0.89
     footprint
    0.88
     pollution
    0.86
     enrichment
    0.86
     Environment
    0.83
    Activations Density 0.009%

    No Known Activations