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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. 5704
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    Explanations

    references to government policies and regulations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to government policies and mandates

    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
    DragonMagazine
    -0.76
    cade
    -0.76
    nin
    -0.75
    REDACTED
    -0.73
    ruary
    -0.69
    çīĪ
    -0.69
    terness
    -0.68
    ï¸ı
    -0.68
    isSpecialOrderable
    -0.67
    fortunately
    -0.67
    POSITIVE LOGITS
     certain
    1.07
     customers
    1.06
     their
    1.03
     employees
    1.01
     themselves
    0.98
     employee
    0.95
     customer
    0.94
     consumers
    0.90
     profits
    0.90
     compliance
    0.87
    Activations Density 0.494%

    No Known Activations