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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. 4366
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    Explanations

    mentions of the word "ke" followed by one or more numerical values

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of a specific name or reference

    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
    Downloadha
    -0.82
    PsyNetMessage
    -0.72
    displayText
    -0.71
    western
    -0.69
    ãĥ´ãĤ¡
    -0.69
     Skydragon
    -0.68
    CLASSIFIED
    -0.67
    Ùħ
    -0.67
    姫
    -0.66
    ãĤ¼ãĤ¦ãĤ¹
    -0.65
    POSITIVE LOGITS
    jriwal
    1.01
    eling
    0.95
    llers
    0.90
    rette
    0.88
    yton
    0.85
    leen
    0.85
    ez
    0.85
    ptic
    0.83
    erk
    0.82
    eter
    0.82
    Activations Density 0.005%

    No Known Activations