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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 a person named Quinn

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Quinn"

    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
    xual
    -0.73
     marrow
    -0.72
    ãĤ·ãĥ£
    -0.70
     fuels
    -0.67
    ¶æ
    -0.67
     pts
    -0.66
     mileage
    -0.62
    ochond
    -0.62
    æµ
    -0.62
    ãĥį
    -0.62
    POSITIVE LOGITS
     Quinn
    1.04
    lich
    0.89
    spir
    0.86
    stown
    0.82
    ipeg
    0.81
    gren
    0.79
    ite
    0.76
    itic
    0.76
    pei
    0.74
    icum
    0.73
    Activations Density 0.007%

    No Known Activations