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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
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    Explanations

    references to the animal "deer"

    oai_token-act-pair · gpt-3.5-turbo

    references to deer

    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
    uyomi
    -0.77
    ppard
    -0.75
     disadvant
    -0.68
    ochemical
    -0.67
    arcer
    -0.65
     Mellon
    -0.64
    hett
    -0.63
    rael
    -0.62
     Miranda
    -0.61
    anco
    -0.61
    POSITIVE LOGITS
     deer
    1.05
     herds
    0.89
     hunter
    0.89
     hunters
    0.88
     carc
    0.87
    bats
    0.86
     beetle
    0.86
    hunter
    0.82
     hunting
    0.79
     herd
    0.78
    Activations Density 0.009%

    No Known Activations