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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. 0-RES-JB
    6. 19823
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    Explanations

    words related to sorting or categorization

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the organization and categorization of information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zanne
    -0.70
    eele
    -0.70
    ewitness
    -0.69
    kee
    -0.68
    oral
    -0.65
     abduct
    -0.65
    onde
    -0.65
    mosp
    -0.64
    iche
    -0.64
     abduction
    -0.63
    POSITIVE LOGITS
     sorted
    3.49
     sorting
    2.45
    Sort
    1.71
     Sort
    1.69
    sort
    1.64
     Viz
    1.37
     mull
    1.10
     grouped
    1.01
     filtering
    0.99
     ado
    0.98
    Activations Density 0.027%

    No Known Activations