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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. 4-RES-JB
    6. 5249
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    Explanations

    references to locations or places, specifically those containing the word "Grand"

    oai_token-act-pair · gpt-3.5-turbo

    references to "Grand" or related geographical or notable entities

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

    No Comments

    Negative Logits
    Downloadha
    -1.12
    tics
    -0.78
    PsyNetMessage
    -0.71
    lihood
    -0.70
    ylon
    -0.69
    utics
    -0.69
    anwhile
    -0.69
    phrine
    -0.66
     chemotherapy
    -0.65
     stocks
    -0.65
    POSITIVE LOGITS
     Prix
    1.18
    father
    1.05
    mother
    1.00
    master
    1.00
     Theft
    0.96
    view
    0.95
     Rapids
    0.89
    pa
    0.87
    parents
    0.85
    mist
    0.84
    Activations Density 0.005%

    No Known Activations