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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. 18198
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    Explanations

    sentences with a recurring structure of introducing a topic followed by a statement or description

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, specifically periods at the end of sentences

    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
     hug
    -0.82
     portrait
    -0.77
     advis
    -0.75
     silent
    -0.73
     dictate
    -0.70
     administrator
    -0.69
     withd
    -0.69
     trusted
    -0.69
     posture
    -0.69
     lap
    -0.68
    POSITIVE LOGITS
     However
    1.28
     Unfortunately
    1.25
     Additionally
    1.25
     Interestingly
    1.18
     Meanwhile
    1.18
     Similarly
    1.17
     Fortunately
    1.15
     Luckily
    1.14
     Afterwards
    1.13
     Furthermore
    1.13
    Activations Density 0.615%

    No Known Activations