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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. 2-RES-JB
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    Explanations

    French names and terms

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names and influential individuals, particularly in a historical or cultural context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    corn
    -0.74
    crow
    -0.71
    Wan
    -0.66
    android
    -0.65
    omaly
    -0.64
     Asian
    -0.64
    iak
    -0.64
    ohyd
    -0.63
    devices
    -0.63
    shr
    -0.63
    POSITIVE LOGITS
     Rouge
    1.21
     Royale
    0.98
     Ãł
    0.94
     Hollande
    0.94
     François
    0.93
    oir
    0.93
    bourg
    0.87
    ois
    0.87
     Mé
    0.86
     Philippe
    0.84
    Activations Density 0.021%

    No Known Activations