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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. 11-RES-JB
    11. 6887
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    Explanations

    phrases indicating personal experiences and emotions

    oai_token-act-pair · gpt-3.5-turbo

    repeated self-referential expressions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ¿½
    -0.77
    tained
    -0.71
    icipated
    -0.69
    farious
    -0.68
    senal
    -0.64
    į
    -0.62
    arthed
    -0.62
    Þ
    -0.61
    ãĥ¼ãĤ¯
    -0.60
    Represent
    -0.59
    POSITIVE LOGITS
    'm
    1.51
     feel
    1.20
     wonder
    1.16
    've
    1.14
     am
    1.09
     need
    1.06
     wanna
    1.05
     crave
    1.04
     realise
    1.04
     wish
    1.02
    Activations Density 0.258%

    No Known Activations