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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. 5-RES-JB
    6. 13187
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    INDEX
    Explanations

    words related to data analysis and technical terms

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NULL
    -0.67
     Vaugh
    -0.64
     incent
    -0.62
    anu
    -0.62
    legate
    -0.61
    bub
    -0.59
     [*
    -0.58
    avorite
    -0.58
    abee
    -0.57
     disadvant
    -0.55
    POSITIVE LOGITS
     consequently
    0.64
    rogens
    0.64
     then
    0.62
    rogen
    0.62
     therefore
    0.62
    /
    0.59
     possibly
    0.59
     thus
    0.58
     thence
    0.55
     hence
    0.53
    Activations Density 0.342%

    No Known Activations