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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. 23710
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    Explanations

    legal or regulatory-related terms and actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to corporate obligations and legal responsibilities

    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
    âĿ
    -0.65
    ersive
    -0.65
    rome
    -0.64
    é»Ĵ
    -0.63
    accompanied
    -0.61
    asser
    -0.59
    etimes
    -0.57
    nin
    -0.57
    entary
    -0.55
     Assass
    -0.55
    POSITIVE LOGITS
     its
    1.07
     itself
    1.03
     ITS
    0.89
     Its
    0.87
     aggressively
    0.82
     profitability
    0.82
     subsidiaries
    0.80
     suppliers
    0.80
     complying
    0.79
     subcontract
    0.78
    Activations Density 1.084%

    No Known Activations