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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. 8-RES-JB
    6. 19180
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    Explanations

    pieces of text indicating someone expressing their opinion or sharing information

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a need or action to be taken

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hur
    -0.66
    river
    -0.62
    Motion
    -0.62
    ById
    -0.61
    Ĭ±
    -0.61
     Miko
    -0.60
    ahime
    -0.59
     Lines
    -0.59
     largeDownload
    -0.58
    â̲
    -0.58
    POSITIVE LOGITS
     overcome
    0.92
     prove
    0.92
     accomplish
    0.88
     prepare
    0.84
     survive
    0.84
     achieve
    0.83
     improve
    0.83
     contend
    0.83
     learn
    0.82
     protect
    0.81
    Activations Density 0.080%

    No Known Activations