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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. 4-RES-JB
    11. 10825
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oooooooooooooooo
    -0.86
    aples
    -0.79
    si
    -0.74
    elaide
    -0.73
    vae
    -0.72
     Reserve
    -0.71
    Orderable
    -0.71
    oj
    -0.70
    sites
    -0.69
     Ruin
    -0.69
    POSITIVE LOGITS
    MENTS
    0.80
     measure
    0.79
    ters
    0.78
    terday
    0.78
    arian
    0.78
    arians
    0.74
    witz
    0.74
    mary
    0.71
    down
    0.69
    ter
    0.69
    Activations Density 0.013%

    No Known Activations