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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. 0-RES-JB
    11. 18156
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    Explanations

    proper names mentioned in a document

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "names."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lite
    -0.68
    poke
    -0.68
    afer
    -0.65
    uncture
    -0.65
     snapped
    -0.64
    alon
    -0.64
    mage
    -0.63
    lement
    -0.62
    unker
    -0.62
    stim
    -0.61
    POSITIVE LOGITS
     names
    3.95
     Names
    2.73
    names
    2.50
     name
    2.48
    Names
    2.28
     identities
    1.90
     surn
    1.90
     Name
    1.83
     naming
    1.82
    Name
    1.79
    Activations Density 0.013%

    No Known Activations