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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 2633
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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
    tesy
    -0.74
    ocent
    -0.68
     Saud
    -0.63
     umb
    -0.63
    verage
    -0.62
     oneself
    -0.61
    icans
    -0.60
    vantage
    -0.59
     tantal
    -0.57
    endant
    -0.57
    POSITIVE LOGITS
    ç¥ŀ
    0.85
     Annotations
    0.80
     endeavors
    0.80
    notes
    0.75
    session
    0.68
     spree
    0.66
     rampage
    0.66
    æĪ¦
    0.65
     dealings
    0.65
     capacities
    0.65
    Activations Density 0.209%

    No Known Activations