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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. 1-RES-JB
    11. 16214
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    Explanations

    mentions of the word "Mash" and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to "mash" and related terms, indicating a focus on cooking or food preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĪĴ
    -0.85
    vernment
    -0.82
    ©¶æ
    -0.75
    duct
    -0.72
     Defenders
    -0.71
    wcs
    -0.69
    elaide
    -0.68
    development
    -0.67
    profits
    -0.67
    ħĭ
    -0.63
    POSITIVE LOGITS
     Mash
    1.30
     mash
    1.04
     tun
    0.89
    ////////////////
    0.88
    Mix
    0.87
    Mut
    0.78
    \/\/
    0.78
    olini
    0.76
    apan
    0.76
    ouri
    0.75
    Activations Density 0.003%

    No Known Activations