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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. 2197
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    Explanations

    nutrients in food, particularly fruits and vegetables

    oai_token-act-pair · gpt-3.5-turbo

    references to fruits and their consumption

    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
    ttle
    -0.71
     principals
    -0.66
    uyomi
    -0.66
    tz
    -0.62
    appropri
    -0.62
    DOS
    -0.61
    atches
    -0.61
    Attempts
    -0.61
    ansky
    -0.61
    isSpecialOrderable
    -0.61
    POSITIVE LOGITS
     fruits
    1.09
    ãĥ¼ãĥĨãĤ£
    0.83
    ãģ®éŃĶ
    0.83
    inho
    0.82
     juices
    0.79
    fruit
    0.79
    nect
    0.78
    士
    0.77
    çĶŁ
    0.77
     fruit
    0.76
    Activations Density 0.013%

    No Known Activations