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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. 7-RES-JB
    11. 1804
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    Explanations

    names of people

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals or proper nouns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĶĢâĶĢ
    -0.88
    ModLoader
    -0.77
    etheless
    -0.75
    theless
    -0.72
     underwater
    -0.69
    ãĥŁ
    -0.68
     Colossus
    -0.67
     Galileo
    -0.67
    LEASE
    -0.64
    ãĥİ
    -0.64
    POSITIVE LOGITS
    ansky
    1.08
    atz
    1.07
    inski
    1.05
    lett
    1.03
    itz
    1.02
    insky
    1.00
    antz
    1.00
    anson
    0.99
    low
    0.97
    sell
    0.97
    Activations Density 0.278%

    No Known Activations