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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 409
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    Explanations

    terms related to essential concepts or principles

    oai_token-act-pair · gpt-3.5-turbo

    the concept of fundamental principles or questions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    quer
    -0.78
    annis
    -0.72
    pload
    -0.70
     Volunteers
    -0.70
    crow
    -0.70
     Sack
    -0.69
     Carbuncle
    -0.69
    ibal
    -0.69
    peak
    -0.69
     Stall
    -0.67
    POSITIVE LOGITS
     tenets
    1.01
     principles
    0.95
    ists
    0.93
    ist
    0.87
    izes
    0.84
     essence
    0.83
     principle
    0.83
    ism
    0.82
     importance
    0.81
     fundamental
    0.81
    Activations Density 0.019%

    No Known Activations