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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. 10-RES-JB
    11. 23470
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    Explanations

    phrases related to reminiscing, memories, or making connections with the past

    oai_token-act-pair · gpt-3.5-turbo

    references to personal recollections or reminders involving individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     largeDownload
    -0.61
     UCHIJ
    -0.61
    iate
    -0.59
    %]
    -0.57
    luaj
    -0.57
    orders
    -0.57
    HB
    -0.56
     livest
    -0.56
    cohol
    -0.55
    pected
    -0.55
    POSITIVE LOGITS
     why
    1.18
     how
    1.01
     WHY
    0.98
     irresist
    0.90
    why
    0.89
     nostalg
    0.86
     anew
    0.82
     vividly
    0.80
     HOW
    0.79
    utra
    0.76
    Activations Density 0.094%

    No Known Activations