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

    proper names starting with the word "Stewart" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Stewart."

    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
    orescent
    -0.78
    ntil
    -0.77
    cles
    -0.76
    fortune
    -0.75
    iliar
    -0.74
    BLE
    -0.73
    ramid
    -0.71
    cle
    -0.70
    ĻĤ
    -0.69
    atable
    -0.69
    POSITIVE LOGITS
     Stewart
    1.10
    yard
    0.78
     Olsen
    0.78
    sey
    0.74
     Orn
    0.74
    Stew
    0.71
    mouth
    0.70
    ie
    0.70
     Gardner
    0.67
     Reed
    0.65
    Activations Density 0.007%

    No Known Activations