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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. 4-RES-JB
    11. 20130
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    Explanations

    text snippets related to being inspired by something

    oai_token-act-pair · gpt-3.5-turbo

    references to sources of inspiration or influences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    neck
    -0.85
    rift
    -0.81
    fixed
    -0.79
    ategories
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    oat
    -0.78
    asive
    -0.75
    nex
    -0.74
    front
    -0.73
    kered
    -0.71
    perture
    -0.71
    POSITIVE LOGITS
     inspiration
    0.76
     chants
    0.71
     virtue
    0.70
     chanting
    0.66
     whichever
    0.66
     imagination
    0.66
     afar
    0.65
     inspiring
    0.65
     TAM
    0.65
     Judge
    0.64
    Activations Density 0.091%

    No Known Activations