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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 16965
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    Explanations

    specific phrases related to rules, regulations, and standards

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to rules, authority, and accountability

    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
    pload
    -0.81
    plet
    -0.78
    leys
    -0.67
    pron
    -0.67
     unden
    -0.66
    star
    -0.66
     glim
    -0.66
     Citiz
    -0.64
    ãĥĺ
    -0.64
     newcom
    -0.63
    POSITIVE LOGITS
     relating
    0.78
     ("
    0.69
     among
    0.69
     ('
    0.67
     between
    0.66
     regarding
    0.66
     (.
    0.66
    :(
    0.65
     ([
    0.64
     belonging
    0.64
    Activations Density 0.219%

    No Known Activations