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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. 11-RES-JB
    11. 13518
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    Explanations

    individuals who have worked in specific positions or industries

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to employment and work history

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mp
    -0.71
    à¼
    -0.65
    neum
    -0.63
    ovi
    -0.61
    ibia
    -0.59
     Flavoring
    -0.58
    miss
    -0.58
    opa
    -0.58
    uckle
    -0.56
    urdy
    -0.55
    POSITIVE LOGITS
     tirelessly
    1.13
     undercover
    1.02
     alongside
    1.01
     closely
    0.98
     abroad
    0.97
     diligently
    0.95
     withd
    0.88
     overtime
    0.88
     extensively
    0.86
     remotely
    0.85
    Activations Density 0.065%

    No Known Activations