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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. 1-RES-JB
    11. 20396
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    INDEX
    Explanations

    phrases or names involving the name "Brent"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Brent"

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    isition
    -0.73
    hibition
    -0.71
    ULT
    -0.66
     navigate
    -0.66
    CVE
    -0.65
    omen
    -0.64
    cknow
    -0.63
    OTE
    -0.62
    INTER
    -0.62
    readable
    -0.61
    POSITIVE LOGITS
     Brent
    1.21
    ford
    0.91
     Grimes
    0.77
     Curtis
    0.74
    rick
    0.73
    rent
    0.72
     Staples
    0.72
     Fischer
    0.71
    wood
    0.70
     Cole
    0.70
    Activations Density 0.005%

    No Known Activations