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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 3-RES-JB
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    Explanations

    mentions of the word "mozzarella."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "mo" in various contexts

    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
    ãĥ´ãĤ¡
    -0.80
    Interstitial
    -0.76
    AMS
    -0.73
    scl
    -0.72
    LESS
    -0.70
     Drawn
    -0.69
    IBLE
    -0.69
    lihood
    -0.68
     Integrity
    -0.67
     Chapman
    -0.65
    POSITIVE LOGITS
    ose
    1.04
    utes
    0.93
    aned
    0.93
    ogly
    0.92
    oths
    0.89
    veland
    0.88
    osh
    0.87
    oser
    0.87
    jo
    0.83
    oms
    0.80
    Activations Density 0.005%

    No Known Activations