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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. 9-RES-JB
    11. 16094
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    Explanations

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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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     flowering
    -0.79
     disadvant
    -0.78
     fading
    -0.64
     complement
    -0.64
     adolesc
    -0.63
     disabling
    -0.63
     Anglo
    -0.62
     fodder
    -0.62
     CLR
    -0.62
     democracy
    -0.62
    POSITIVE LOGITS
    ï¸ı
    1.10
    s
    1.06
    said
    0.94
    saw
    0.94
    has
    0.93
    sure
    0.92
    ccording
    0.92
    had
    0.91
    mad
    0.89
    mental
    0.88
    Activations Density 0.271%

    No Known Activations