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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
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    Explanations

    references to the word "Upper"

    oai_token-act-pair · gpt-3.5-turbo

    words that refer to various types of "upper" products or items

    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
    ADRA
    -0.90
    urers
    -0.70
    è¯
    -0.70
    undo
    -0.69
    UE
    -0.68
    åĮ
    -0.68
    taboola
    -0.65
    ually
    -0.64
    ILLE
    -0.63
    venge
    -0.63
    POSITIVE LOGITS
    pper
    1.07
    mint
    1.04
    idon
    0.94
    iffe
    0.93
    ppers
    0.89
    ipop
    0.81
    idge
    0.81
    ipher
    0.79
    vier
    0.77
    berries
    0.76
    Activations Density 0.013%

    No Known Activations