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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 14910
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    INDEX
    Explanations

    words related to long-term patterns or changes

    oai_token-act-pair · gpt-3.5-turbo

    references to trends or patterns over time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ned
    -0.83
    oÄŁ
    -0.83
    gha
    -0.79
    ded
    -0.75
    INGTON
    -0.71
    \\\\\\\\
    -0.68
    unts
    -0.67
    lain
    -0.66
    ×ŀ
    -0.65
    \\\\\\\\\\\\\\\\
    -0.65
    POSITIVE LOGITS
    etting
    1.06
    ettings
    1.03
    etter
    1.01
    uggest
    0.96
    omething
    0.94
    afety
    0.92
    ynt
    0.92
     trends
    0.91
    hooting
    0.90
    hips
    0.89
    Activations Density 0.034%

    No Known Activations