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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. 4-RES-JB
    11. 239
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    Explanations

    terms related to construction and infrastructure, particularly concerning a building material or system abbreviated as "CEB."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "CE" or "CEB" followed by numbers, indicating a focus on a specific system or classification involving these terms

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

    No Comments

    Negative Logits
    folk
    -0.89
    nesota
    -0.85
    ãĥĥãĥĪ
    -0.84
    ãĥĦ
    -0.82
    ãĤ¹ãĥĪ
    -0.80
    geon
    -0.80
    animous
    -0.77
    manager
    -0.77
    frames
    -0.76
    eness
    -0.75
    POSITIVE LOGITS
    VO
    1.11
    LL
    0.93
    utical
    0.90
    VERS
    0.88
    lements
    0.86
    ASE
    0.84
    LECT
    0.82
    URRENT
    0.81
    IRO
    0.80
    VER
    0.78
    Activations Density 0.019%

    No Known Activations