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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
    11. 21180
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    Explanations

    profession-related terms, particularly focusing on scientists and researchers

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various scientific professions

    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
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    No Comments

    Negative Logits
    avers
    -0.80
    inki
    -0.79
    ilver
    -0.74
    rams
    -0.71
     Pradesh
    -0.70
    ¥ŀ
    -0.70
    ensing
    -0.69
    sembly
    -0.69
    ourcing
    -0.68
    awks
    -0.68
    POSITIVE LOGITS
     extraord
    1.06
     laureate
    0.85
    itatively
    0.83
    ically
    0.76
    ="#
    0.74
    ufact
    0.74
    osphere
    0.72
    OGR
    0.72
    ãĤ¶
    0.71
    Psy
    0.70
    Activations Density 0.207%

    No Known Activations