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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. 10-RES-JB
    11. 8505
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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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ishable
    -0.69
    mercial
    -0.65
    icut
    -0.64
    eday
    -0.58
    cott
    -0.58
     Medals
    -0.58
    verbs
    -0.57
    abre
    -0.56
    truth
    -0.56
     Battalion
    -0.55
    POSITIVE LOGITS
     comprised
    1.19
     comprising
    1.18
     consisting
    1.18
     composed
    1.00
    members
    0.99
     assembled
    0.95
     comprises
    0.94
     mates
    0.89
    naire
    0.89
     numbering
    0.88
    Activations Density 0.243%

    No Known Activations