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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. 1863
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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
     induct
    -0.87
     sober
    -0.84
     involuntary
    -0.83
     chained
    -0.82
     butcher
    -0.82
     portrait
    -0.80
     calming
    -0.79
     marked
    -0.78
     whist
    -0.78
     hostage
    -0.77
    POSITIVE LOGITS
    com
    1.86
    org
    1.80
    exe
    1.59
    net
    1.52
    tv
    1.52
    Org
    1.48
    gov
    1.45
    edu
    1.44
    tumblr
    1.34
    nl
    1.34
    Activations Density 0.429%

    No Known Activations