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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. 19400
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    Explanations

    references to specific numerical identifiers and titles in academic or literary contexts

    oai_token-act-pair · gpt-3.5-turbo

    structured references to academic or journalistic sources

    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
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    Negative Logits
    soever
    -0.68
     abroad
    -0.64
     temperament
    -0.63
    uba
    -0.61
     opinions
    -0.59
     Ambro
    -0.58
     nurt
    -0.58
     knowledgeable
    -0.58
     franc
    -0.58
     behavi
    -0.57
    POSITIVE LOGITS
    ħĭ
    0.85
    rontal
    0.84
     Skydragon
    0.78
    ãĥ¯ãĥ³
    0.76
    ©¶æ
    0.76
    ãĥ´ãĤ¡
    0.75
    20439
    0.75
     guiActiveUnfocused
    0.75
    000
    0.74
    ãĥ©ãĥ³
    0.74
    Activations Density 0.271%

    No Known Activations