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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. 7006
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    Explanations

    usernames or aliases, likely related to online communities or platforms

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of non-word characters and punctuation indicators

    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
     destro
    -0.65
     rul
    -0.54
     livest
    -0.53
     Vaugh
    -0.50
     convol
    -0.49
     advoc
    -0.47
     helicop
    -0.47
     predec
    -0.47
     distingu
    -0.46
    ',"
    -0.45
    POSITIVE LOGITS
    Cub
    0.56
    º
    0.53
    SCP
    0.52
    CVE
    0.49
     largeDownload
    0.49
    Vers
    0.49
    Ī
    0.45
    ËĪ
    0.45
    UTERS
    0.44
     âĢº
    0.43
    Activations Density 0.531%

    No Known Activations