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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. 7-RES-JB
    6. 13696
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    INDEX
    Explanations

    adjectives describing qualities or states of being

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to choice and consequence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ortium
    -0.70
     renamed
    -0.61
     PKK
    -0.59
     Coulter
    -0.58
     millenn
    -0.57
     widened
    -0.56
     hijacked
    -0.55
     Lange
    -0.55
     Shack
    -0.52
    eatures
    -0.51
    POSITIVE LOGITS
    able
    0.78
     whatsoever
    0.76
     outweigh
    0.76
     thereof
    0.73
    Quantity
    0.72
    ?".
    0.72
     beforehand
    0.71
     ("
    0.70
     or
    0.70
    osity
    0.70
    Activations Density 0.794%

    No Known Activations