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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. 12-RES-JB
    11. 4375
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    Explanations

    phrases related to dairy products, specifically milk

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    terms related to milk and dairy products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Manuel
    -0.80
     Exile
    -0.65
     Hunting
    -0.64
    ISE
    -0.63
    iping
    -0.61
     limb
    -0.59
    ning
    -0.59
     Parker
    -0.58
    ities
    -0.58
    aneously
    -0.56
    POSITIVE LOGITS
    weed
    1.27
    maid
    1.09
    mil
    0.88
    fat
    0.85
    beer
    0.81
    waukee
    0.80
     chocolate
    0.80
    fed
    0.80
    utics
    0.79
     cows
    0.77
    Activations Density 0.040%

    No Known Activations