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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. 17116
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    Explanations

    symbols and characters

    oai_token-act-pair · gpt-3.5-turbo

    non-standard characters or symbols

    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
    eatures
    -1.09
    sembly
    -1.04
     neighb
    -0.90
     agre
    -0.86
     confir
    -0.82
     detecting
    -0.82
    etheless
    -0.82
     exha
    -0.81
     contrace
    -0.79
    undai
    -0.79
    POSITIVE LOGITS
    å¸
    1.52
    åĬ
    1.52
    é
    1.51
    èª
    1.51
    çļĦ
    1.50
    åº
    1.50
    æ
    1.50
    è
    1.49
    å
    1.48
    åĪ
    1.48
    Activations Density 0.042%

    No Known Activations