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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. 2-RES-JB
    11. 12880
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Brandon"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EMS
    -0.82
    ILA
    -0.81
    atic
    -0.77
    perature
    -0.74
    ixed
    -0.71
    awaru
    -0.70
    opia
    -0.69
    yrinth
    -0.69
    atics
    -0.68
    atorial
    -0.67
    POSITIVE LOGITS
     Brandon
    1.04
    Brandon
    0.95
    strap
    0.84
     Strait
    0.83
     Jennings
    0.80
    mont
    0.79
     Greene
    0.75
     Manning
    0.74
     Stra
    0.71
     Marshall
    0.71
    Activations Density 0.004%

    No Known Activations