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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. 2-RES-JB
    6. 16848
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    INDEX
    Explanations

    mentions of specific names or terms, particularly "Ny" and "Kru"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eering
    -0.96
    ably
    -0.84
    IBLE
    -0.80
    OPLE
    -0.75
    ÙĦ
    -0.74
    TAIN
    -0.73
    ablishment
    -0.71
    urdue
    -0.70
    awaru
    -0.68
    ãĥ´ãĤ¡
    -0.67
    POSITIVE LOGITS
     Ny
    1.13
    quist
    0.92
    ota
    0.85
    borg
    0.83
    seys
    0.77
    rites
    0.76
    yk
    0.74
    ody
    0.73
     Ey
    0.73
    heter
    0.72
    Activations Density 0.004%

    No Known Activations