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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. 2235
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    Explanations

    the word 'experience'

    oai_token-act-pair · gpt-3.5-turbo

    words related to experiences or experiments

    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
     Appalachian
    -0.72
     Leilan
    -0.72
    uyomi
    -0.67
    brush
    -0.67
     vigil
    -0.66
     Skydragon
    -0.66
     Tate
    -0.63
     Saber
    -0.62
     Appalach
    -0.61
     action
    -0.60
    POSITIVE LOGITS
    ienced
    1.61
    iments
    1.40
    iences
    1.39
    iment
    1.38
    ience
    1.28
    imental
    1.28
    ient
    1.18
    ien
    1.03
    icion
    0.98
    ients
    0.94
    Activations Density 0.015%

    No Known Activations