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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. 6-RES-JB
    11. 10854
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    INDEX
    Explanations

    words related to economic conditions and policies, specifically focusing on unemployment rates

    oai_token-act-pair · gpt-3.5-turbo

    references to unemployment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    roman
    -0.80
    ILE
    -0.74
    wcsstore
    -0.74
    afort
    -0.73
     Zup
    -0.72
    orses
    -0.72
    ×Ļ×
    -0.71
    sonian
    -0.70
    gran
    -0.68
    rm
    -0.67
    POSITIVE LOGITS
     Unemployment
    0.95
     unemployment
    0.89
     unemployed
    0.81
     unemploy
    0.79
     compensation
    0.78
     Compensation
    0.73
     rate
    0.73
    employment
    0.72
     suicides
    0.71
    bered
    0.71
    Activations Density 0.026%

    No Known Activations