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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. 7-RES-JB
    6. 6745
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    Explanations

    personal pronouns followed by verbs

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "you."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Reconstruction
    -0.67
     Dimension
    -0.64
     Lives
    -0.62
     Jasper
    -0.62
    course
    -0.62
     Actions
    -0.61
     Sunset
    -0.60
     Pulitzer
    -0.60
     Hours
    -0.60
     Integrity
    -0.59
    POSITIVE LOGITS
    're
    1.40
    've
    1.14
     hear
    1.09
     realize
    0.97
     realise
    0.95
     guys
    0.94
     think
    0.90
    hei
    0.89
     contemplate
    0.88
     compare
    0.86
    Activations Density 0.095%

    No Known Activations