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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. 18432
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    Explanations

    adverbs indicating a high degree or intensity

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing extreme negativity or despair

    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
    inventoryQuantity
    -0.74
    ioch
    -0.74
    icipated
    -0.74
    llah
    -0.68
    atana
    -0.67
    Ô
    -0.67
    anwhile
    -0.67
    olin
    -0.66
    ippi
    -0.66
    arters
    -0.65
    POSITIVE LOGITS
    ingly
    0.94
    ulously
    0.84
    antly
    0.81
     bewild
    0.79
     delighted
    0.73
    ishly
    0.72
    abby
    0.72
    ãĤ¦ãĤ¹
    0.71
     amaz
    0.69
     Brilliant
    0.69
    Activations Density 0.021%

    No Known Activations