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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. 21661
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    Explanations

    keywords related to analog technology

    oai_token-act-pair · gpt-3.5-turbo

    references to analog technology and its comparisons to digital

    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
    apers
    -0.73
    IELD
    -0.70
    hov
    -0.66
    vati
    -0.64
    vous
    -0.63
    kers
    -0.62
    Jar
    -0.62
    frey
    -0.62
    ttes
    -0.61
    selection
    -0.61
    POSITIVE LOGITS
    ues
    1.03
    ical
    0.91
    ophone
    0.87
    sembly
    0.83
     analog
    0.82
    ously
    0.80
     analogue
    0.80
    imity
    0.80
    istar
    0.78
    ies
    0.78
    Activations Density 0.024%

    No Known Activations