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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 21386
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    Explanations

    phrases related to innovative and advanced technologies or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to cutting-edge technology or advancements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iott
    -0.85
    ulet
    -0.82
    ioned
    -0.78
    iever
    -0.76
    ified
    -0.75
    itism
    -0.73
    ILLE
    -0.73
    uph
    -0.68
    ifies
    -0.67
    izen
    -0.67
    POSITIVE LOGITS
     edge
    0.99
     torches
    0.85
     scissors
    0.84
     torch
    0.81
    edge
    0.80
    ¸
    0.77
    hani
    0.74
     enzyme
    0.73
     elbows
    0.73
     temperatures
    0.72
    Activations Density 0.075%

    No Known Activations