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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. 0-RES-JB
    6. 73
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    INDEX
    Explanations

    words related to employment or hiring, especially the term "employees"

    oai_token-act-pair · gpt-3.5-turbo

    references to employees or staff members

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dividing
    -0.61
     impe
    -0.60
     symbol
    -0.60
     fracturing
    -0.58
     fragment
    -0.57
     manufactured
    -0.57
    trop
    -0.56
     Slash
    -0.56
     vicious
    -0.55
     Compton
    -0.55
    POSITIVE LOGITS
    ees
    4.79
    ee
    2.76
    EE
    1.58
    eed
    1.53
    eez
    1.39
    een
    1.32
    eem
    1.28
    eeds
    1.23
    ey
    1.23
    ez
    1.22
    Activations Density 0.004%

    No Known Activations