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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. 4655
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    Explanations

    locations or places

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations and regions, particularly relating to the city of Shenzhen and its surroundings

    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
    interstitial
    -1.05
    gypt
    -0.84
    enhagen
    -0.82
    indal
    -0.80
    sec
    -0.78
    iosity
    -0.69
    ingu
    -0.69
    ruption
    -0.69
    clair
    -0.68
    ophy
    -0.68
    POSITIVE LOGITS
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.92
    OTOS
    0.81
    \\\\\\\\
    0.80
    ãĥĺ
    0.80
    ãĢIJ
    0.79
    é¾
    0.79
    é¾įåĸļ士
    0.75
    è¯
    0.75
    soever
    0.74
    =~=~
    0.74
    Activations Density 0.041%

    No Known Activations