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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. 2-RES-JB
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    Explanations

    mentions of veterinarians

    oai_token-act-pair · gpt-3.5-turbo

    terms related to veterinary care and professionals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.79
    heric
    -0.75
    icity
    -0.71
     iP
    -0.71
    */(
    -0.68
    oples
    -0.67
    lihood
    -0.67
    cr
    -0.66
    xual
    -0.65
    emb
    -0.63
    POSITIVE LOGITS
     vet
    1.18
     veterinarian
    1.01
     vets
    0.99
     veterinary
    0.91
     Canaver
    0.90
     veterin
    0.86
     Veter
    0.85
     Vet
    0.83
    ãĥ£
    0.82
     surgeon
    0.81
    Activations Density 0.009%

    No Known Activations