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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. 5-RES-JB
    6. 13602
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    Explanations

    specific characters or sequences ("Q" followed by a number) within the text

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "Q" with varying frequencies, likely indicating a focus on specific technical terminology or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ufact
    -0.85
    fulness
    -0.84
     Lauder
    -0.73
    coni
    -0.70
     Magicka
    -0.69
     fullest
    -0.65
     immobil
    -0.63
    fitting
    -0.62
     afore
    -0.62
    milo
    -0.61
    POSITIVE LOGITS
    UE
    1.16
    ues
    1.02
    uably
    0.94
    ued
    0.93
    WER
    0.91
    atari
    0.89
    atar
    0.89
    addafi
    0.87
    naire
    0.87
    DN
    0.87
    Activations Density 0.013%

    No Known Activations