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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. 12007
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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 @ 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
    Not in Any Lists

    No Comments

    Negative Logits
    icz
    -0.89
    ierrez
    -0.89
    pedia
    -0.87
    eatures
    -0.86
    phis
    -0.85
    ourgeois
    -0.81
    undai
    -0.79
    isexual
    -0.78
    illet
    -0.78
     carbohyd
    -0.78
    POSITIVE LOGITS
    Ùĩ
    0.98
    ÙĨ
    0.91
    ر
    0.87
    ×Ļ×
    0.83
    اÙĦ
    0.80
    ĺ
    0.79
    ×ķ
    0.79
    Ģ
    0.78
    ¨
    0.78
    ÙĦ
    0.77
    Activations Density 0.010%

    No Known Activations