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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. 21263
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    Explanations

    dates in the format "YYYY-MM-DD" that are related to specific events or items

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical data, specifically percentages or statistics

    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
    NetMessage
    -0.81
    tarians
    -0.78
    stract
    -0.78
    piring
    -0.77
     actionGroup
    -0.75
    holder
    -0.75
    holders
    -0.75
    eworld
    -0.74
    gem
    -0.72
    rooms
    -0.72
    POSITIVE LOGITS
    98
    0.93
    97
    0.92
    95
    0.85
    90
    0.84
    99
    0.81
    65
    0.81
    96
    0.80
    152
    0.79
     97
    0.78
    765
    0.77
    Activations Density 0.015%

    No Known Activations