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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. 1-RES-JB
    6. 13766
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    Explanations

    numbers indicating a specific ranking or score in a range from 0 to 10

    oai_token-act-pair · gpt-3.5-turbo

    numeric values and references to measurements 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
    netflix
    -0.84
    EStream
    -0.76
    rette
    -0.72
    TextColor
    -0.72
    deen
    -0.71
    ramid
    -0.67
    raviolet
    -0.67
    sole
    -0.66
     propriet
    -0.66
    quet
    -0.65
    POSITIVE LOGITS
    85
    0.93
    20
    0.88
    40
    0.88
    ^{
    0.88
    84
    0.86
    81
    0.86
    82
    0.86
    400
    0.85
    acity
    0.84
    92
    0.84
    Activations Density 0.060%

    No Known Activations