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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. 1-RES-JB
    11. 7088
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    Explanations

    information related to cooling systems and technology

    oai_token-act-pair · gpt-3.5-turbo

    references to cooling systems and technologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Parish
    -0.80
    kie
    -0.78
     Orth
    -0.77
    ledged
    -0.72
     Hodg
    -0.72
    tein
    -0.72
    NL
    -0.70
    {"
    -0.69
     Breed
    -0.67
    Sharp
    -0.67
    POSITIVE LOGITS
     cooling
    1.39
     cooled
    1.21
     cooler
    1.01
     exha
    0.98
     insulation
    0.97
     climates
    0.94
     diss
    0.94
     calcul
    0.90
     undermin
    0.87
     melt
    0.86
    Activations Density 0.017%

    No Known Activations