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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. 23644
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    Explanations

    sequences of repeated letters or sounds

    oai_token-act-pair · gpt-3.5-turbo

    stylized representations of laughter and expressions of excitement

    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
     Prospect
    -0.84
     Viz
    -0.72
     propensity
    -0.70
     Mechdragon
    -0.70
     Feder
    -0.69
     Polk
    -0.69
     Pers
    -0.69
     Kodi
    -0.66
     Jihad
    -0.65
     companions
    -0.64
    POSITIVE LOGITS
    aaaa
    1.48
    hhhh
    1.46
    aah
    1.39
    AAAAAAAA
    1.35
    HHHH
    1.35
    yy
    1.33
    aaa
    1.33
    AAAA
    1.32
    hhh
    1.32
    eeee
    1.31
    Activations Density 0.049%

    No Known Activations