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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. 1-RES-JB
    6. 23425
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    Explanations

    instances where praise or recognition is given

    oai_token-act-pair · gpt-3.5-turbo

    expressions of acknowledgment or praise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    gren
    -0.66
     fronts
    -0.65
    tered
    -0.64
    few
    -0.63
     lyrics
    -0.63
     rall
    -0.63
    ptic
    -0.62
     WRITE
    -0.61
     Beng
    -0.61
    glers
    -0.60
    POSITIVE LOGITS
    udos
    1.13
    elta
    0.92
    ĺħ
    0.91
    itto
    0.90
    agram
    0.87
    obos
    0.86
    insula
    0.85
    ItemTracker
    0.85
    utra
    0.83
    wcsstore
    0.82
    Activations Density 0.038%

    No Known Activations