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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. 4-RES-JB
    11. 2452
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    udeb
    -0.76
     Bom
    -0.76
     Cave
    -0.72
     Schwarz
    -0.69
    paio
    -0.68
    ombs
    -0.68
    =-=-=-=-
    -0.68
    akia
    -0.68
     Rapp
    -0.66
     Woods
    -0.64
    POSITIVE LOGITS
    demand
    0.89
    bnb
    0.82
    Demand
    0.74
    ible
    0.72
    igslist
    0.72
    ingly
    0.69
    istance
    0.69
    ware
    0.67
    flix
    0.67
     millenn
    0.67
    Activations Density 0.010%

    No Known Activations