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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. 3185
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    INDEX
    Explanations

    instances where information or plans are presented or given to someone

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "presented" and its variations

    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
    umph
    -0.71
     msec
    -0.68
    leen
    -0.64
     corps
    -0.64
    tery
    -0.62
    ijn
    -0.61
    hene
    -0.61
    hovah
    -0.61
     leak
    -0.60
     churn
    -0.59
    POSITIVE LOGITS
    icts
    0.87
    ENTS
    0.79
    ICT
    0.79
     presentations
    0.77
    ATIVE
    0.77
    encing
    0.77
     Present
    0.76
    iments
    0.76
     presents
    0.75
    present
    0.74
    Activations Density 0.044%

    No Known Activations