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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. 22642
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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 @ 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
     AMERICA
    -0.71
    WARE
    -0.62
    balls
    -0.61
    meal
    -0.61
     Relief
    -0.58
    eers
    -0.58
     FTA
    -0.58
     Dahl
    -0.58
     Overs
    -0.58
     OPS
    -0.57
    POSITIVE LOGITS
    ackets
    1.36
    anches
    1.22
    acket
    1.16
    igham
    1.15
    ushing
    1.14
    addock
    1.11
    ains
    1.09
    ushes
    1.09
    atton
    1.08
    ushed
    1.07
    Activations Density 0.018%

    No Known Activations