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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. 0-RES-JB
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    phrases related to pets

    oai_token-act-pair · gpt-3.5-turbo

    references to pets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     samurai
    -0.73
     Asgard
    -0.71
     gamma
    -0.71
     coding
    -0.71
    uminati
    -0.70
     segregated
    -0.69
     segregation
    -0.69
    atana
    -0.69
     coded
    -0.67
     encode
    -0.67
    POSITIVE LOGITS
     Pet
    3.77
    Pet
    3.04
     pet
    2.16
    pet
    1.98
     Pets
    1.97
     PET
    1.86
     pets
    1.52
     Petra
    1.46
    PET
    1.46
     Petro
    1.45
    Activations Density 0.011%

    No Known Activations