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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. 11-RES-JB
    11. 2200
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    Explanations

    environmental issues and impacts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to environmental damage and its impact on health and agriculture

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thood
    -0.79
     Psy
    -0.75
     Pascal
    -0.75
     Computing
    -0.73
    Gam
    -0.73
     Intro
    -0.72
     Gifts
    -0.70
     Gam
    -0.70
    ivalry
    -0.70
     Patri
    -0.69
    POSITIVE LOGITS
     hazards
    1.39
     nuisance
    1.37
     contamin
    1.34
     unsafe
    1.31
     hazardous
    1.31
     contam
    1.31
     contamination
    1.30
     drainage
    1.28
     hazard
    1.26
     vegetation
    1.25
    Activations Density 0.481%

    No Known Activations