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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. 10-RES-JB
    11. 5600
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    Explanations

    number combinations

    oai_token-act-pair · gpt-3.5-turbo

    numeric values or identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ument
    -0.80
    gart
    -0.67
    ennes
    -0.62
     Gors
    -0.59
     Micha
    -0.59
    oshenko
    -0.56
     tract
    -0.56
     manslaughter
    -0.56
    strip
    -0.55
    owe
    -0.55
    POSITIVE LOGITS
     Wonders
    1.17
    eenth
    1.01
    07
    0.99
    06
    0.96
    03
    0.94
    883
    0.93
    th
    0.90
    88
    0.89
    04
    0.88
    69
    0.87
    Activations Density 0.104%

    No Known Activations