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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. 4-RES-JB
    6. 8186
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    Explanations

    phrases related to assistance and guidance, particularly in helping and informing users

    oai_token-act-pair · gpt-3.5-turbo

    references to various groups of people or users in contexts related to products and services

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

    No Comments

    Negative Logits
    REDACTED
    -0.73
    ASED
    -0.67
    ascar
    -0.60
    tein
    -0.52
    ced
    -0.52
    ITED
    -0.52
     Trilogy
    -0.51
    TPS
    -0.51
    NING
    -0.51
     Alloy
    -0.50
    POSITIVE LOGITS
    folk
    0.67
     understand
    0.65
     beware
    0.64
    mbuds
    0.64
    opausal
    0.63
     recognize
    0.62
     interested
    0.62
     adopt
    0.61
    perty
    0.61
     congreg
    0.61
    Activations Density 0.422%

    No Known Activations