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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. 3-RES-JB
    6. 19055
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    Explanations

    names or terms containing the letters "ak"

    oai_token-act-pair · gpt-3.5-turbo

    words related to "ak" or names containing "ak"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pint
    -0.68
     Founders
    -0.65
     balloons
    -0.64
    builders
    -0.63
     Pigs
    -0.62
     Weasley
    -0.62
    drops
    -0.60
     istg
    -0.60
     STE
    -0.59
     Fenrir
    -0.58
    POSITIVE LOGITS
    arak
    1.26
    ota
    1.25
    unin
    1.20
    umar
    1.14
    ansas
    1.03
    uten
    1.01
    owski
    1.00
    ushi
    1.00
    iri
    1.00
    sha
    1.00
    Activations Density 0.017%

    No Known Activations