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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. 5-RES-JB
    6. 847
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    Explanations

    references to things that are freely available or accessible

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of freedom or unrestricted availability

    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
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    Negative Logits
    senal
    -0.76
     Ancients
    -0.71
     Stories
    -0.70
    ochond
    -0.69
    retty
    -0.68
    ents
    -0.67
    arya
    -0.67
     Reaction
    -0.66
    arella
    -0.66
     Derby
    -0.66
    POSITIVE LOGITS
     unrestricted
    0.83
     freely
    0.82
     flowing
    0.79
     roam
    0.78
     distribut
    0.77
     distribute
    0.75
    zing
    0.73
     unchecked
    0.72
    bies
    0.71
    hibited
    0.70
    Activations Density 0.013%

    No Known Activations