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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. 3-RES-JB
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    Explanations

    mentions of the occupation "doctor"

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "doctor"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Territories
    -0.76
    yss
    -0.75
     Flavoring
    -0.73
    cluding
    -0.72
    ndra
    -0.66
    theless
    -0.64
    issan
    -0.62
    iland
    -0.62
    yip
    -0.61
    CHAT
    -0.61
    POSITIVE LOGITS
    doctor
    1.08
     doctor
    1.05
     examiner
    0.96
     Doctor
    0.87
     physician
    0.86
     practitioner
    0.84
     diagn
    0.83
     diagnoses
    0.80
    ysis
    0.80
    iate
    0.79
    Activations Density 0.016%

    No Known Activations