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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. 17502
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    Explanations

    locations or facilities that provide services or activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to facilities, services, and infrastructure

    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
    Beg
    -0.69
    ãĥĥãĥī
    -0.66
    oret
    -0.64
    PsyNetMessage
    -0.63
    patient
    -0.63
    ãĥ£
    -0.62
     Aval
    -0.61
    abase
    -0.59
     Hemisphere
    -0.57
     Kaplan
    -0.57
    POSITIVE LOGITS
     alike
    1.75
     respectively
    1.49
     thereof
    1.08
    hips
    0.99
     etc
    0.89
     attRot
    0.89
     accordingly
    0.84
     therein
    0.84
     ensued
    0.78
     thereto
    0.77
    Activations Density 0.560%

    No Known Activations