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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. 10-RES-JB
    6. 4090
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    INDEX
    Explanations

    mentions of software testing phases

    oai_token-act-pair · gpt-3.5-turbo

    references to beta versions of software

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.91
     Jagu
    -0.74
    wic
    -0.68
    nian
    -0.68
    olulu
    -0.66
    sworth
    -0.66
     Earthquake
    -0.66
    andum
    -0.64
    lli
    -0.63
    inho
    -0.63
    POSITIVE LOGITS
     testers
    1.01
     blockers
    0.98
    Beta
    0.94
    beta
    0.92
     blocker
    0.91
     testing
    0.84
     beta
    0.80
     release
    0.79
     Centauri
    0.78
    Draft
    0.77
    Activations Density 0.018%

    No Known Activations