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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. 6-RES-JB
    6. 16696
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    Explanations

    mentions of access to various resources or information

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to access and availability of resources or services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kern
    -0.73
    Maker
    -0.65
     almond
    -0.64
     Saud
    -0.59
    warm
    -0.59
     Opera
    -0.58
    backer
    -0.56
     ellipt
    -0.56
    stal
    -0.56
     Seal
    -0.54
    POSITIVE LOGITS
    ibility
    1.41
    ibly
    1.30
    ible
    1.19
    ibilities
    1.04
    ibles
    1.02
    ibl
    0.95
    ioned
    0.95
    ion
    0.90
    ãĥ¼ãĥĨ
    0.89
    IBLE
    0.86
    Activations Density 0.024%

    No Known Activations