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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. 4382
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    Explanations

    phrases related to various industries or regions

    oai_token-act-pair · gpt-3.5-turbo

    topics related to various industries and their cultural significance

    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
    arching
    -0.65
    rious
    -0.64
    uesday
    -0.60
    wolf
    -0.60
    ulence
    -0.60
    romeda
    -0.59
     Integrity
    -0.57
    urat
    -0.57
    paio
    -0.57
     kicker
    -0.56
    POSITIVE LOGITS
     nowadays
    1.00
     alike
    0.90
     contexts
    0.88
    lance
    0.83
     circles
    0.80
     textbooks
    0.79
    .[
    0.76
     anyways
    0.75
     onwards
    0.74
     anyway
    0.73
    Activations Density 0.352%

    No Known Activations