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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
    11. 5505
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    Explanations

    words with diacritic marks

    oai_token-act-pair · gpt-3.5-turbo

    the character "è" in various contexts

    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
    aimon
    -0.74
    frames
    -0.74
    assic
    -0.74
    utterstock
    -0.72
    frame
    -0.70
    assian
    -0.67
    EStreamFrame
    -0.66
    jri
    -0.65
    ragon
    -0.64
    Impl
    -0.64
    POSITIVE LOGITS
    ¬
    1.12
    è
    1.06
    vre
    1.00
    ·
    0.95
    ħ
    0.94
    lette
    0.90
     é
    0.89
    ¯¯¯¯
    0.89
    ¤
    0.83
    ¹
    0.82
    Activations Density 0.002%

    No Known Activations