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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. 6-RES-JB
    6. 17420
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    Explanations

    phrases involving time or chronological order

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" used to connect ideas or clauses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    .–
    -0.75
    ãĥķãĤ¡
    -0.69
    NULL
    -0.69
    istant
    -0.67
    offensive
    -0.67
    Times
    -0.65
    RAW
    -0.65
    rug
    -0.64
    rain
    -0.63
    ensor
    -0.62
    POSITIVE LOGITS
     then
    0.98
     thence
    0.89
     secondly
    0.86
     luckily
    0.82
     oversaw
    0.80
     consequently
    0.79
     proceeded
    0.79
     THEN
    0.78
     toured
    0.77
     wondered
    0.76
    Activations Density 0.329%

    No Known Activations