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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. 1-RES-JB
    11. 327
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    INDEX
    Explanations

    mentions of specific organizations or companies

    oai_token-act-pair · gpt-3.5-turbo

    references to a broadcasting service or network

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Fiscal
    -0.65
     Frankfurt
    -0.62
     skating
    -0.62
     Vie
    -0.60
     breeze
    -0.59
     Kinnikuman
    -0.59
     commons
    -0.57
     Sphere
    -0.57
     Martial
    -0.57
     shining
    -0.57
    POSITIVE LOGITS
    BS
    1.29
    ombat
    1.11
    ettings
    1.09
    leeve
    1.01
    cham
    0.99
    erver
    0.94
     mathemat
    0.94
    wana
    0.91
    ensical
    0.91
    poons
    0.90
    Activations Density 0.005%

    No Known Activations