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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. 10-RES-JB
    6. 652
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    Explanations

    terms associated with the importance or impact of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate significance or importance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idth
    -0.71
    started
    -0.63
     Revival
    -0.62
     Tee
    -0.62
     meanwhile
    -0.60
    inav
    -0.59
     Deaths
    -0.56
     Crimson
    -0.55
    ITED
    -0.55
    ftime
    -0.53
    POSITIVE LOGITS
     easier
    1.22
     unsu
    1.20
     impossible
    1.16
     unus
    1.09
     difficult
    1.09
     ineligible
    1.07
     susceptible
    1.07
     harder
    1.03
     unlikely
    1.03
     possible
    0.99
    Activations Density 0.077%

    No Known Activations