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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. 16435
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    Explanations

    phrases related to quantitative data and analysis

    oai_token-act-pair · gpt-3.5-turbo

    information related to financial metrics and economic conditions

    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
    anton
    -0.73
    alion
    -0.67
    ħĭ
    -0.67
    aire
    -0.64
    oho
    -0.64
    ãģł
    -0.64
    ãĥīãĥ©
    -0.62
    prise
    -0.61
    chnology
    -0.59
    avage
    -0.57
    POSITIVE LOGITS
     owing
    1.15
     preferring
    1.04
     costing
    0.99
     requiring
    0.97
     averaging
    0.97
     however
    0.97
     consisting
    0.94
    due
    0.94
     but
    0.93
     hovering
    0.92
    Activations Density 0.275%

    No Known Activations