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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. 8183
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    Explanations

    references to "CS" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    references to specific championships or competitions in sports contexts

    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
    runner
    -0.66
    ously
    -0.65
     thous
    -0.63
     unaccompanied
    -0.62
    judicial
    -0.62
     bour
    -0.62
     publicity
    -0.62
    accompan
    -0.61
    selves
    -0.61
    ishi
    -0.60
    POSITIVE LOGITS
    IRO
    1.02
    ANE
    0.95
    HT
    0.87
    OME
    0.86
    OOL
    0.85
    DP
    0.84
    ession
    0.83
    ettings
    0.81
    helle
    0.81
    HD
    0.80
    Activations Density 0.008%

    No Known Activations