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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. 3-RES-JB
    11. 24546
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    Explanations

    mentions of the term "UST" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to the University of Texas System (UST)

    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
    ciplinary
    -0.84
    emonic
    -0.83
    mon
    -0.82
    sharp
    -0.78
    eworks
    -0.76
    gra
    -0.74
    epad
    -0.74
    king
    -0.73
    gy
    -0.72
    hid
    -0.71
    POSITIVE LOGITS
    UST
    1.15
    EMBER
    1.07
    RAL
    1.06
    URA
    1.05
    IAN
    1.04
    ARD
    0.97
    NESS
    0.97
    LAND
    0.95
    WOR
    0.95
    ECK
    0.94
    Activations Density 0.013%

    No Known Activations