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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. 4-RES-JB
    11. 15402
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    Explanations

    dates specifically written as month/day/year

    oai_token-act-pair · gpt-3.5-turbo

    instances of acceptance and related phrases

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

    No Comments

    Negative Logits
    mAh
    -0.79
    stals
    -0.69
     gears
    -0.69
    angular
    -0.64
    zx
    -0.62
     LEDs
    -0.62
     Tycoon
    -0.61
    widget
    -0.61
     nets
    -0.60
     pools
    -0.60
    POSITIVE LOGITS
     unres
    0.88
    aram
    0.80
     uncond
    0.77
    uberty
    0.75
     paternity
    0.75
     complicity
    0.73
     pronouns
    0.72
    ername
    0.71
    AFTA
    0.71
     gladly
    0.70
    Activations Density 0.282%

    No Known Activations