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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. 6-RES-JB
    11. 5070
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to achievement and financial metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     contrace
    -0.63
     Suppose
    -0.61
    lite
    -0.58
     Mex
    -0.58
     Sloan
    -0.58
    wrong
    -0.57
    heit
    -0.57
     Sharing
    -0.56
     pol
    -0.55
     Trying
    -0.55
    POSITIVE LOGITS
     rave
    1.00
     headlines
    0.94
     notoriety
    0.94
     considerable
    0.93
     accol
    0.90
    OGR
    0.85
     acclaim
    0.84
    interstitial
    0.82
    illions
    0.82
     hefty
    0.76
    Activations Density 0.185%

    No Known Activations