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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. 14884
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    Explanations

    financial terms related to company performance

    oai_token-act-pair · gpt-3.5-turbo

    financial metrics related to company performance

    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
    sonian
    -1.03
     ster
    -0.71
    jon
    -0.68
    gra
    -0.67
    ogene
    -0.65
    heter
    -0.64
    endants
    -0.63
    URA
    -0.61
     Gonzalez
    -0.60
    rab
    -0.60
    POSITIVE LOGITS
     margin
    0.88
     margins
    0.82
     Estimates
    0.78
     Analyst
    0.75
     attributable
    0.75
     forecast
    0.75
     forecasts
    0.74
     growth
    0.74
     outlook
    0.74
    irth
    0.73
    Activations Density 0.107%

    No Known Activations