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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. 7267
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    Explanations

    terms related to locations or events

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical values, particularly in the context of events or objects

    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
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    No Comments

    Negative Logits
    ospons
    -0.77
    etts
    -0.65
    ayson
    -0.62
    essel
    -0.62
    xus
    -0.60
     Petersen
    -0.60
     Pair
    -0.59
     Lerner
    -0.58
    ihar
    -0.58
    ilon
    -0.58
    POSITIVE LOGITS
    FTWARE
    0.79
    -'
    0.77
    '?
    0.62
    urai
    0.61
    Alert
    0.61
     Grav
    0.61
    wagon
    0.61
    iverse
    0.60
     nostalgia
    0.60
     Dynam
    0.60
    Activations Density 0.128%

    No Known Activations