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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. 6-RES-JB
    6. 6469
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    Explanations

    phrases that refer to ongoing trends or actions happening in a sequence

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating ongoing trends or developments

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Pict
    -0.69
     Gallery
    -0.67
     Pak
    -0.64
    Gy
    -0.61
     Doctrine
    -0.60
     northeastern
    -0.59
    river
    -0.59
     Speaking
    -0.58
     Thy
    -0.56
    aq
    -0.56
    POSITIVE LOGITS
     consumes
    0.89
     extends
    0.87
     awaits
    0.87
    soever
    0.86
     arose
    0.86
     occurs
    0.85
     encompasses
    0.84
     haun
    0.84
     happens
    0.84
     undermines
    0.84
    Activations Density 0.126%

    No Known Activations