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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. 19563
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    Explanations

    phrases related to environmental issues, such as pollution, protection, and degradation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to environmental issues and protection

    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
    doms
    -0.80
    aptic
    -0.76
    loading
    -0.75
    ework
    -0.75
    dom
    -0.75
    strap
    -0.74
     McGee
    -0.73
    culus
    -0.71
    rooms
    -0.70
    coni
    -0.69
    POSITIVE LOGITS
     hazards
    1.04
     stewards
    1.00
    ist
    0.99
     degradation
    0.96
     footprint
    0.92
    ists
    0.91
     hazard
    0.90
     disasters
    0.89
     sustainability
    0.89
     pollution
    0.87
    Activations Density 0.056%

    No Known Activations