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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 13340
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    Explanations

    terms related to active engagement, support, and involvement

    oai_token-act-pair · gpt-3.5-turbo

    the word "actively" and its variations in contexts related to engagement or involvement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Parables
    -0.92
    elf
    -0.81
    esan
    -0.75
     Chaser
    -0.68
    Fine
    -0.66
    wich
    -0.66
     Arri
    -0.65
     Tycoon
    -0.64
     Horizons
    -0.64
    nian
    -0.64
    POSITIVE LOGITS
     engaged
    1.10
    uated
    0.86
    uating
    0.84
     encouraged
    0.83
     participated
    0.83
     actively
    0.80
     solic
    0.79
     participates
    0.79
     discouraged
    0.79
     recruited
    0.78
    Activations Density 0.012%

    No Known Activations