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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. 3-RES-JB
    11. 5471
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    Explanations

    mentions of the word "mint" or related terms like "<word>ing" or "<word>ed"

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "mint" and related terms in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ake
    -0.81
    Magikarp
    -0.66
     Methodist
    -0.66
    argument
    -0.64
    ---------
    -0.64
     voc
    -0.62
     Soup
    -0.61
     Adv
    -0.61
    HUD
    -0.61
    addock
    -0.61
    POSITIVE LOGITS
     Seym
    1.53
     mint
    1.07
    mint
    0.94
    ãĥ¼ãĥĨãĤ£
    0.93
    roman
    0.87
    marks
    0.84
     coins
    0.82
     coin
    0.81
    itaire
    0.80
    lishing
    0.80
    Activations Density 0.009%

    No Known Activations