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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

    the word "Karl"

    oai_token-act-pair · gpt-3.5-turbo

    the name "Karl" 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
     eleph
    -0.73
    ledged
    -0.65
     Proced
    -0.65
    Rare
    -0.65
    FACE
    -0.64
    ORTS
    -0.63
    Commission
    -0.63
    Interstitial
    -0.63
     scant
    -0.63
    agency
    -0.62
    POSITIVE LOGITS
    sson
    1.22
     Rove
    1.04
    ovy
    1.01
    Karl
    0.99
    insky
    0.90
    etics
    0.86
    stown
    0.85
     Franz
    0.85
    ophe
    0.84
     Karl
    0.83
    Activations Density 0.006%

    No Known Activations