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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. 16662
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    Explanations

    verbs related to making decisions or taking actions

    oai_token-act-pair · gpt-3.5-turbo

    references to decisions being made or actions taken

    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
    pse
    -0.79
    Tag
    -0.77
    anty
    -0.76
    rep
    -0.71
    Jet
    -0.69
     Scan
    -0.66
    riet
    -0.66
     Ples
    -0.66
    sit
    -0.66
    Tier
    -0.65
    POSITIVE LOGITS
    ĵĺ
    0.75
    iasco
    0.73
     Directions
    0.70
     uttered
    0.67
    ĸļ
    0.67
     therein
    0.67
     speeches
    0.67
     AQ
    0.67
    arations
    0.66
    hyde
    0.65
    Activations Density 0.097%

    No Known Activations