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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. 23985
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    Explanations

    names of financial institutions and individuals

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the name "Morgan."

    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
    lihood
    -0.92
    ension
    -0.71
    ract
    -0.69
    ensions
    -0.68
    ľ
    -0.66
    ================================================================
    -0.65
    uction
    -0.61
    scribe
    -0.60
    liness
    -0.60
    uously
    -0.60
    POSITIVE LOGITS
     Stanley
    0.94
    gage
    0.92
    igans
    0.90
     Chase
    0.86
    dale
    0.83
    itic
    0.83
     Spur
    0.83
     Freeman
    0.78
    imet
    0.77
    conn
    0.76
    Activations Density 0.031%

    No Known Activations