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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. 8-RES-JB
    6. 3608
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    Explanations

    references to the word "Gre" followed by a number, possibly in a context related to different topics

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Grease" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -0.64
    DragonMagazine
    -0.62
    Fram
    -0.62
    ividual
    -0.62
     CPC
    -0.61
     Bulls
    -0.60
     TAMADRA
    -0.60
    etheless
    -0.59
     Tonight
    -0.58
    picture
    -0.58
    POSITIVE LOGITS
    enery
    1.05
    yson
    1.01
    edy
    0.99
    gg
    0.96
    ysc
    0.94
    endale
    0.89
    zzy
    0.88
    ather
    0.88
    ggy
    0.88
    ogly
    0.88
    Activations Density 0.022%

    No Known Activations