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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. 12533
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to environmental issues and policies

    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
    onement
    -0.78
    doms
    -0.74
    ilts
    -0.74
    aptic
    -0.71
     McGee
    -0.71
    rooms
    -0.69
    lique
    -0.69
    dom
    -0.69
    culus
    -0.69
    ework
    -0.68
    POSITIVE LOGITS
    ist
    1.10
    ists
    1.06
     degradation
    1.05
     stewards
    1.05
     sustainability
    1.03
     hazards
    0.98
     footprint
    0.95
     contaminants
    0.92
     pollution
    0.90
     cleanup
    0.90
    Activations Density 0.049%

    No Known Activations