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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. 3-RES-JB
    11. 5777
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    Explanations

    terms related to client software or applications

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of clients in a technical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ģ«
    -0.88
    auri
    -0.78
    itialized
    -0.77
    orie
    -0.76
    åħī
    -0.74
    ãĥ©ãĥ³
    -0.73
    rition
    -0.71
    lighting
    -0.67
    veyard
    -0.67
    ¿½
    -0.65
    POSITIVE LOGITS
    ele
    1.11
     client
    0.99
    client
    0.92
     clients
    0.85
    thro
    0.74
    Alias
    0.73
    eer
    0.73
    Rect
    0.73
     SDK
    0.72
     CLIENT
    0.72
    Activations Density 0.011%

    No Known Activations