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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. 1-RES-JB
    11. 4861
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    Explanations

    prominent characters or symbols, such as accents and international characters

    oai_token-act-pair · gpt-3.5-turbo

    unique characters or symbols in the text

    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
    awaru
    -0.95
    nings
    -0.82
     richness
    -0.76
     Flavoring
    -0.74
    ifice
    -0.74
    */(
    -0.74
     exhib
    -0.73
    giving
    -0.72
    byter
    -0.71
    merce
    -0.70
    POSITIVE LOGITS
    ´
    1.05
    ãĤ¡
    0.97
    ر
    0.94
    ople
    0.88
    ł
    0.85
    ¹
    0.85
    âĶĢâĶĢ
    0.85
    µ
    0.84
    Ùĩ
    0.84
    âĶĢâĶĢâĶĢâĶĢ
    0.81
    Activations Density 0.003%

    No Known Activations