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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. 10-RES-JB
    11. 998
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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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     exha
    -0.96
     incorpor
    -0.89
    sembly
    -0.86
    geries
    -0.80
     accelerated
    -0.75
    arcity
    -0.75
     execut
    -0.73
     mathemat
    -0.72
     treadmill
    -0.72
     indoctr
    -0.72
    POSITIVE LOGITS
    ï¸ı
    1.47
    ÙĦ
    1.36
    Û
    1.32
    âĺ
    1.32
    åŃIJ
    1.32
    âĿ
    1.32
    ðŁ
    1.32
    ï¸
    1.31
    ï
    1.29
    ÏĤ
    1.25
    Activations Density 0.051%

    No Known Activations