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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. 10013
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    locations or institutions referenced in the text

    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
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    No Comments

    Negative Logits
    ratulations
    -0.74
     ge
    -0.60
     reason
    -0.60
     rays
    -0.60
    ctors
    -0.60
     fuss
    -0.59
    ptoms
    -0.58
     insepar
    -0.58
     lyr
    -0.58
     progress
    -0.58
    POSITIVE LOGITS
     behest
    0.88
     helm
    0.86
     headquarters
    0.80
     expense
    0.80
    itent
    0.74
     HQ
    0.72
    Aren
    0.71
     Studios
    0.71
     Headquarters
    0.70
     Laboratories
    0.70
    Activations Density 0.394%

    No Known Activations