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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
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    Explanations

    mentions of the name "Gordon"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Gordon."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Archdemon
    -0.91
    ItemTracker
    -0.85
    ylum
    -0.81
    atchewan
    -0.80
    Rated
    -0.77
    Roaming
    -0.77
    urities
    -0.76
    mble
    -0.75
    ptroller
    -0.74
    yrim
    -0.70
    POSITIVE LOGITS
     Ramsay
    1.29
     Hayward
    0.89
     Wass
    0.83
     Gordon
    0.83
    Gordon
    0.77
     Kling
    0.77
     Ramsey
    0.76
     Yards
    0.75
     Freeman
    0.74
    glas
    0.70
    Activations Density 0.009%

    No Known Activations