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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. 0-RES-JB
    11. 9561
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    Explanations

    references to mobile applications

    oai_token-act-pair · gpt-3.5-turbo

    mentions of applications (apps)

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heed
    -0.71
     reeling
    -0.70
     ç¥ŀ
    -0.68
    ourge
    -0.68
    nce
    -0.65
    HF
    -0.64
    rio
    -0.63
     valves
    -0.63
    erers
    -0.63
     valve
    -0.62
    POSITIVE LOGITS
     App
    3.59
    App
    2.46
     app
    2.02
    app
    1.96
     APP
    1.94
     Apps
    1.83
    APP
    1.46
     apps
    1.44
     Application
    1.43
    Apps
    1.35
    Activations Density 0.012%

    No Known Activations