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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. 807
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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
    tein
    -0.83
    asus
    -0.77
    Delivery
    -0.75
    ALLY
    -0.68
    opsis
    -0.64
    nce
    -0.64
    ua
    -0.59
    DCS
    -0.59
    acted
    -0.58
    OV
    -0.58
    POSITIVE LOGITS
    cape
    0.95
    heet
    0.94
    chool
    0.94
    mith
    0.92
    pace
    0.88
    creen
    0.88
    linger
    0.88
    paces
    0.88
    peed
    0.87
    pring
    0.87
    Activations Density 0.241%

    No Known Activations