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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. 1-RES-JB
    6. 1362
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    Explanations

    phrases related to being at the forefront or leading position in a particular field or industry

    oai_token-act-pair · gpt-3.5-turbo

    phrases that signify being at the forefront or leading position in various fields or discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sheep
    -0.64
    andro
    -0.60
    ints
    -0.59
    ope
    -0.58
    ymph
    -0.58
     Eucl
    -0.57
    gm
    -0.56
     Sweeney
    -0.55
    othy
    -0.55
    ettings
    -0.55
    POSITIVE LOGITS
     forefront
    1.10
    ĸļ
    0.89
    ï¸
    0.82
    wcs
    0.81
    ï¸ı
    0.81
    mast
    0.77
    shore
    0.75
    rontal
    0.72
    cil
    0.71
     Defenders
    0.68
    Activations Density 0.007%

    No Known Activations