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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. 3-RES-JB
    11. 5062
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    Explanations

    names of characters in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to specific character names and interactions among them

    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
    etheless
    -0.72
    interstitial
    -0.68
    itiveness
    -0.67
    luster
    -0.67
     millenn
    -0.66
    ixtures
    -0.65
     fixture
    -0.65
     concess
    -0.64
     composition
    -0.64
    itutes
    -0.63
    POSITIVE LOGITS
     himself
    0.75
    bart
    0.74
    insky
    0.72
    Bra
    0.68
     Dek
    0.68
     QC
    0.67
    hus
    0.67
     Crew
    0.66
    henko
    0.66
    Guard
    0.65
    Activations Density 1.143%

    No Known Activations