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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. 17419
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    oai_token-act-pair · gpt-3.5-turbo

    references to various business models

    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
    ãģį
    -0.73
    ãĤĵ
    -0.72
    ighters
    -0.72
    姫
    -0.72
    irin
    -0.71
    sight
    -0.70
    adows
    -0.70
    ãģķ
    -0.67
    ãĥ«
    -0.66
    edi
    -0.65
    POSITIVE LOGITS
     whereby
    1.17
     dictated
    1.01
     prev
    0.95
     wherein
    0.89
     revolving
    0.87
     conducive
    0.86
     perv
    0.85
    ologies
    0.85
     pioneered
    0.83
     dictates
    0.83
    Activations Density 0.252%

    No Known Activations