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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. 18881
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    oai_token-act-pair · gpt-3.5-turbo

    sentences that indicate significant events or outcomes

    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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    Negative Logits
     maiden
    -0.70
     intermediate
    -0.70
     dimensional
    -0.65
     indispensable
    -0.65
     mosqu
    -0.64
    yrus
    -0.63
     obliter
    -0.62
     challeng
    -0.62
     impressions
    -0.62
     glim
    -0.62
    POSITIVE LOGITS
     REUTERS
    1.04
     Officials
    1.01
     Critics
    0.94
     Instead
    0.93
     Others
    0.93
     Meanwhile
    0.91
     Though
    0.91
     Hide
    0.91
     Their
    0.90
     They
    0.88
    Activations Density 0.478%

    No Known Activations