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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. 4-RES-JB
    11. 16581
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    keywords related to food preparation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to cooking and food preparation

    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
    rawdownloadcloneembedreportprint
    -0.88
    DragonMagazine
    -0.77
    ĸļ
    -0.75
    abama
    -0.74
    ĨĴ
    -0.74
    =-=-=-=-
    -0.74
    VERTISEMENT
    -0.71
    EGIN
    -0.71
    ãĤ´ãĥ³
    -0.70
    natureconservancy
    -0.69
    POSITIVE LOGITS
     blades
    0.83
    iron
    0.78
     tubes
    0.78
     oven
    0.76
    aux
    0.75
    obar
    0.75
     liner
    0.74
    iaries
    0.73
    ilts
    0.71
    otype
    0.70
    Activations Density 0.545%

    No Known Activations