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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. 6-RES-JB
    6. 1365
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    INDEX
    Explanations

    phrases related to positions and states of being in certain situations, often emphasizing advantage or disadvantage

    oai_token-act-pair · gpt-3.5-turbo

    prepositions indicating position or location

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    leys
    -0.73
    ZA
    -0.71
     mysql
    -0.67
    entity
    -0.64
    Disclaimer
    -0.62
     methodology
    -0.62
    leck
    -0.62
     DATA
    -0.61
     relates
    -0.60
     evid
    -0.59
    POSITIVE LOGITS
     peril
    0.84
     jeopardy
    0.80
    unin
    0.76
    aterasu
    0.75
    hon
    0.74
     unwelcome
    0.74
     unch
    0.73
    chuk
    0.73
     trouble
    0.71
     happiest
    0.69
    Activations Density 0.207%

    No Known Activations