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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. 7-RES-JB
    11. 11597
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mma
    -0.56
     âĢİ
    -0.54
     Rasmussen
    -0.54
    akeru
    -0.51
     Pathfinder
    -0.50
    aminer
    -0.50
     Armory
    -0.50
    Reply
    -0.49
     Nare
    -0.49
     Camb
    -0.48
    POSITIVE LOGITS
     ones
    0.71
    ardless
    0.59
     versa
    0.57
     surfing
    0.56
     or
    0.55
    iddling
    0.52
    foundland
    0.52
     versus
    0.51
    ãĥij
    0.51
     equivalents
    0.51
    Activations Density 0.815%

    No Known Activations