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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. 5-RES-JB
    6. 2455
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    Explanations

    the word "cross" followed by various contexts or phrases

    oai_token-act-pair · gpt-3.5-turbo

    terms related to interdisciplinary or cross-functional collaboration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ICAN
    -0.77
    å§«
    -0.75
     seiz
    -0.66
    nant
    -0.66
    ãĤ¼ãĤ¦ãĤ¹
    -0.66
    ikan
    -0.64
    rha
    -0.64
    acious
    -0.63
     Ples
    -0.63
     Kut
    -0.63
    POSITIVE LOGITS
    roads
    1.40
    bow
    1.19
    bows
    1.03
    cross
    0.97
    hair
    0.94
    cutting
    0.92
    bones
    0.92
    road
    0.91
    wal
    0.89
    bench
    0.88
    Activations Density 0.014%

    No Known Activations