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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 17351
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    Explanations

    phrases containing the words "state-of-the-art"

    oai_token-act-pair · gpt-3.5-turbo

    references to state-sponsored activities or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kson
    -0.93
    ï¸ı
    -0.91
    pload
    -0.85
     Sawyer
    -0.77
    ogle
    -0.74
     Indigo
    -0.71
    orem
    -0.70
    nesday
    -0.69
    ersen
    -0.68
     Bett
    -0.68
    POSITIVE LOGITS
    based
    1.12
    level
    1.08
    backed
    0.97
    aligned
    0.92
    machine
    0.88
    space
    0.86
    oriented
    0.86
    funded
    0.86
    powered
    0.85
    of
    0.85
    Activations Density 0.095%

    No Known Activations