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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. 2-RES-JB
    11. 5627
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    Explanations

    keywords related to programming functions and methods

    oai_token-act-pair · gpt-3.5-turbo

    function calls in programming syntax

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stal
    -0.80
    warts
    -0.78
    prising
    -0.73
     explan
    -0.69
    mong
    -0.68
    worldly
    -0.68
    andan
    -0.67
    clud
    -0.66
    ties
    -0.65
    ĻĤ
    -0.64
    POSITIVE LOGITS
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.94
     Returns
    0.85
     Mehran
    0.83
     è£ıè¦ļéĨĴ
    0.78
    ()
    0.77
     Checking
    0.77
    /-
    0.73
    ptr
    0.72
    *)
    0.72
    erred
    0.71
    Activations Density 0.027%

    No Known Activations