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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. 5509
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    Explanations

    phrases related to nurturing and care for living beings, especially animals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of infants or young animals in distress

    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
    ãĤ¶
    -0.80
    ãĥĩãĤ£
    -0.76
    ãĥĢ
    -0.76
    ãĥ¼ãĥĨãĤ£
    -0.75
    football
    -0.71
     Voters
    -0.70
    ν
    -0.70
    ãĥĥãĥī
    -0.70
    odox
    -0.68
    ãĥ´ãĤ¡
    -0.66
    POSITIVE LOGITS
     veterinarian
    0.90
     captivity
    0.89
     careg
    0.84
     caregivers
    0.82
     trainers
    0.73
     zoo
    0.72
     trainer
    0.72
     nursery
    0.70
     conventional
    0.69
     veterinary
    0.68
    Activations Density 0.857%

    No Known Activations