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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

    people's names, in particular names with a repeated syllable like "Mika" or "Monique."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Mika."

    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
    ĻĤ
    -0.78
    ensible
    -0.77
     corrid
    -0.77
    dit
    -0.74
    gob
    -0.73
    ingham
    -0.72
    */(
    -0.71
     glim
    -0.69
    lying
    -0.69
    bidden
    -0.69
    POSITIVE LOGITS
    ika
    1.01
    ppa
    0.89
    uchi
    0.82
    emia
    0.81
    izu
    0.79
     Suk
    0.77
    ichi
    0.76
    qa
    0.76
    iba
    0.76
    wan
    0.75
    Activations Density 0.009%

    No Known Activations