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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. 3-RES-JB
    11. 24279
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    Explanations

    numbers in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics

    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
    romeda
    -0.81
    otine
    -0.72
    ificial
    -0.71
    oles
    -0.70
    orically
    -0.68
    depending
    -0.67
    ilic
    -0.66
    spread
    -0.66
    oper
    -0.65
    ilant
    -0.64
    POSITIVE LOGITS
    ¢
    0.81
    th
    0.79
    %-
    0.76
     Minutes
    0.74
    TH
    0.70
    MN
    0.70
     âĺħ
    0.68
    81
    0.68
    %,
    0.67
    YR
    0.67
    Activations Density 0.279%

    No Known Activations