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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. 8062
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    Explanations

    phrases indicating a resorting or turning to a specific action or behavior

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating actions of resorting or indulgence

    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
    workers
    -0.80
    facing
    -0.74
     Guatem
    -0.73
    enery
    -0.70
    si
    -0.69
    houses
    -0.69
    roy
    -0.66
    house
    -0.64
    rats
    -0.63
    GW
    -0.62
    POSITIVE LOGITS
     caution
    0.75
     sidx
    0.73
    ierre
    0.72
    agall
    0.68
    pmwiki
    0.68
     ç¥ŀ
    0.68
     Rule
    0.64
     insanity
    0.64
     compromise
    0.62
    uchin
    0.62
    Activations Density 0.184%

    No Known Activations