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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. 6037
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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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    No Comments

    Negative Logits
     basis
    -0.82
     grounding
    -0.81
     aggregation
    -0.75
     glim
    -0.74
     withd
    -0.74
     retrospective
    -0.73
     immersion
    -0.70
     empt
    -0.70
     nesting
    -0.70
     outlet
    -0.69
    POSITIVE LOGITS
    jpg
    1.51
    edu
    1.38
    png
    1.33
    wikipedia
    1.32
    exe
    1.27
    com
    1.20
    dll
    1.19
    blogspot
    1.19
    icio
    1.11
    tumblr
    1.10
    Activations Density 0.114%

    No Known Activations