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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. 3535
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    Explanations

    phrases related to processes of selection, hiring, and recruitment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to selection and recruitment processes

    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
    isin
    -0.71
    quart
    -0.69
    obi
    -0.69
     antioxid
    -0.67
     repairing
    -0.65
    enegger
    -0.64
    icz
    -0.63
    lihood
    -0.63
    İĭ
    -0.63
    emer
    -0.62
    POSITIVE LOGITS
     process
    1.08
     criteria
    1.05
     ceremonies
    0.96
     Process
    0.96
     announcements
    0.96
     decisions
    0.96
     procedures
    0.95
     hearings
    0.94
     quotas
    0.90
     processes
    0.87
    Activations Density 0.180%

    No Known Activations