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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. 2-RES-JB
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    Explanations

    German words containing "ü"

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific German word, likely indicating a focus on a particular subject or entity within the content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    serving
    -0.65
    frey
    -0.61
    esses
    -0.61
     thumbnail
    -0.60
    lihood
    -0.59
    iaries
    -0.59
    eval
    -0.59
     Sparrow
    -0.59
     kneeling
    -0.58
    aird
    -0.57
    POSITIVE LOGITS
    ü
    1.02
    ür
    0.98
    gency
    0.97
    ãĥī
    0.93
    ãĥĥ
    0.85
    gew
    0.84
    ãĥĢ
    0.83
    ãĥ³
    0.79
    ãĥĹ
    0.79
     Ãľ
    0.78
    Activations Density 0.006%

    No Known Activations