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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. 7-RES-JB
    11. 4382
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    Explanations

    words related to governmental and legal entities, such as countries, laws, and organizations

    oai_token-act-pair · gpt-3.5-turbo

    key terms related to government and institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hots
    -0.82
    mble
    -0.74
    _>
    -0.72
    earchers
    -0.71
    kell
    -0.71
    omsky
    -0.68
    cases
    -0.67
    amber
    -0.67
    bnb
    -0.66
    icion
    -0.66
    POSITIVE LOGITS
    wide
    0.84
     workforce
    0.75
     residency
    0.74
     sanctioned
    0.71
     payroll
    0.70
    Care
    0.69
     employee
    0.66
     ID
    0.64
     IDs
    0.63
     infrastructure
    0.63
    Activations Density 0.531%

    No Known Activations