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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. 9-RES-JB
    11. 18178
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    Explanations

    expressions or phrases indicating future events or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating future expectations or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    lua
    -0.73
    cius
    -0.70
    wick
    -0.67
    tein
    -0.67
    advant
    -0.66
    uese
    -0.65
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.65
    claimer
    -0.64
    cop
    -0.63
    mel
    -0.61
    POSITIVE LOGITS
     hereafter
    0.83
     soon
    0.79
     awaits
    0.78
     tomorrow
    0.78
     someday
    0.76
    \.
    0.75
    !--
    0.72
     2019
    0.72
     anytime
    0.71
    !
    0.70
    Activations Density 0.210%

    No Known Activations