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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. 10-RES-JB
    11. 3280
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    Explanations

    words indicating lack of significance or value

    oai_token-act-pair · gpt-3.5-turbo

    terms that express lack of value or significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asio
    -0.91
    arthy
    -0.79
    orthy
    -0.72
    orah
    -0.70
    deck
    -0.69
    insula
    -0.68
    alez
    -0.68
    arta
    -0.67
    bors
    -0.67
    ornia
    -0.66
    POSITIVE LOGITS
     waste
    0.95
     filler
    0.93
     anymore
    0.86
     distractions
    0.84
     garbage
    0.82
     except
    0.81
     gimm
    0.81
     unless
    0.80
     clutter
    0.79
     nonsense
    0.79
    Activations Density 0.139%

    No Known Activations