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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. 11033
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    Explanations

    words related to job activities or job conditions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to employment and job conditions

    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
    oxide
    -0.82
    perse
    -0.78
    phrine
    -0.78
    cean
    -0.76
    vous
    -0.76
    DragonMagazine
    -0.71
    angel
    -0.69
    powder
    -0.68
    vae
    -0.68
    clave
    -0.67
    POSITIVE LOGITS
    ĻĤ
    0.78
     vocational
    0.71
    ij士
    0.70
     apprentices
    0.68
    ikuman
    0.66
     Herbert
    0.65
     rentals
    0.64
     Tate
    0.64
     obedience
    0.63
     waivers
    0.61
    Activations Density 0.419%

    No Known Activations