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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 18555
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    Explanations

    references to the name "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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.84
    GGGGGGGG
    -0.68
     marrow
    -0.68
    ruciating
    -0.67
    Ͻ
    -0.67
    rament
    -0.66
    ogical
    -0.65
    ochond
    -0.64
    lder
    -0.64
    ansas
    -0.63
    POSITIVE LOGITS
    spir
    0.86
     Quinn
    0.84
    ifest
    0.84
    lich
    0.77
    pei
    0.75
     Quin
    0.73
    ipeg
    0.73
    isms
    0.72
    yth
    0.70
    pool
    0.69
    Activations Density 0.033%

    No Known Activations