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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. 3-RES-JB
    11. 22
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    Explanations

    JavaScript code snippets containing specific keywords or variable names

    oai_token-act-pair · gpt-3.5-turbo

    declarations of variables in programming code

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stem
    -0.82
    manship
    -0.76
    furt
    -0.75
    ItemTracker
    -0.73
    doms
    -0.72
    ãĤĵ
    -0.67
    stakes
    -0.67
    xual
    -0.67
    =-=-
    -0.66
    ãĥĦ
    -0.66
    POSITIVE LOGITS
    ition
    0.84
    args
    0.83
    iances
    0.80
    ietal
    0.79
    isher
    0.77
    ibr
    0.77
    neys
    0.77
    ptr
    0.76
    itions
    0.76
    icut
    0.76
    Activations Density 0.011%

    No Known Activations