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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 10926
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    Explanations

    references to the past, historical events, and memories

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "past."

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.86
    shapeshifter
    -0.79
    anguage
    -0.77
    hz
    -0.71
    wagon
    -0.70
    lee
    -0.70
    SK
    -0.69
    hyde
    -0.69
    Software
    -0.67
    Gun
    -0.67
    POSITIVE LOGITS
    ebin
    1.35
     tense
    0.90
    iche
    0.89
     generations
    0.84
    ures
    0.74
    oral
    0.73
     Past
    0.72
     week
    0.72
    ime
    0.71
     history
    0.71
    Activations Density 0.027%

    No Known Activations