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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. 3-RES-JB
    6. 11143
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    INDEX
    Explanations

    phrases related to trends or movements going upwards

    oai_token-act-pair · gpt-3.5-turbo

    terms indicating trends, particularly upward trends

    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
    mong
    -0.77
    tein
    -0.74
     Bigfoot
    -0.72
     Mamm
    -0.71
     Bloody
    -0.68
    TOP
    -0.67
    BuyableInstoreAndOnline
    -0.66
    BILITY
    -0.65
     Lithuan
    -0.64
    DN
    -0.64
    POSITIVE LOGITS
    ¥ŀ
    1.18
     srf
    1.01
     entreprene
    0.97
     trajectory
    0.90
     proport
    0.89
    grading
    0.89
     traject
    0.89
     earthqu
    0.87
     upward
    0.86
    graded
    0.86
    Activations Density 0.006%

    No Known Activations