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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. 10281
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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
     grounding
    -0.76
     divide
    -0.76
     recess
    -0.75
     snipers
    -0.75
     accent
    -0.75
     subordinate
    -0.74
     rooting
    -0.73
     conflicting
    -0.71
     marked
    -0.71
     setback
    -0.71
    POSITIVE LOGITS
    wordpress
    1.87
    blogspot
    1.87
    com
    1.79
    org
    1.72
    info
    1.55
    net
    1.53
    tumblr
    1.53
    yahoo
    1.33
    exe
    1.31
    files
    1.31
    Activations Density 0.094%

    No Known Activations