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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. 4-RES-JB
    11. 8578
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    Explanations

    mentions of a specific name, "Dale"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Dale" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rontal
    -0.95
    ebus
    -0.74
    ulates
    -0.73
    ulatory
    -0.73
    LCS
    -0.73
    inventoryQuantity
    -0.70
    itutes
    -0.70
    ivities
    -0.66
    ptroller
    -0.64
    pired
    -0.64
    POSITIVE LOGITS
     Dale
    0.92
     Carnegie
    0.92
     Burnett
    0.81
     Yates
    0.79
     Cooper
    0.79
     Zan
    0.76
     Earn
    0.76
    hammer
    0.76
     Driver
    0.73
    rolet
    0.72
    Activations Density 0.007%

    No Known Activations