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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. 11-RES-JB
    6. 10472
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    Explanations

    phrases related to entities or actions being in the middle or center

    oai_token-act-pair · gpt-3.5-turbo

    phrases that contain variations of "the" and different numeric references, indicating a focus on structured occurrences or patterns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avan
    -0.65
    PsyNetMessage
    -0.64
    nesday
    -0.63
    iott
    -0.63
    orsi
    -0.62
    Ç
    -0.62
    ingly
    -0.61
    EH
    -0.60
    ulner
    -0.57
    mania
    -0.56
    POSITIVE LOGITS
     trenches
    1.07
     headlights
    0.96
     womb
    0.94
     wilderness
    0.90
     midst
    0.90
     closet
    0.88
     woods
    0.87
     saddle
    0.85
     pudding
    0.84
     sun
    0.82
    Activations Density 0.095%

    No Known Activations