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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. 6-RES-JB
    11. 7750
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    intent
    -0.72
     outraged
    -0.65
     minded
    -0.63
     murd
    -0.62
     franc
    -0.62
     distraught
    -0.61
     gobl
    -0.60
    vale
    -0.59
     angered
    -0.59
    flies
    -0.59
    POSITIVE LOGITS
     Introduction
    0.77
    æĸ¹
    0.72
    éĹĺ
    0.68
    ãĥ©ãĥ³
    0.67
     Dungeon
    0.66
     Tile
    0.66
     Annual
    0.66
    å°Ĩ
    0.65
     Mandatory
    0.64
    ©¶æ
    0.63
    Activations Density 0.170%

    No Known Activations