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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 14590
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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
    YD
    -0.87
    ADS
    -0.84
    CSS
    -0.84
     Vaugh
    -0.81
    IRC
    -0.81
    Ns
    -0.81
    ETS
    -0.81
    HL
    -0.80
    JC
    -0.78
    AMS
    -0.78
    POSITIVE LOGITS
     "'
    0.94
     "
    0.91
     "(
    0.84
     "[
    0.82
     liar
    0.80
     ",
    0.79
     \"
    0.78
     servant
    0.78
     pleasure
    0.77
     foreigner
    0.77
    Activations Density 0.094%

    No Known Activations