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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. 15794
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    Explanations

    references to sugar

    oai_token-act-pair · gpt-3.5-turbo

    references to sugar and its 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
    naire
    -0.73
     Newsp
    -0.72
    ynski
    -0.72
    atche
    -0.72
     KP
    -0.70
    acular
    -0.70
    Downloadha
    -0.69
    ahime
    -0.67
    agall
    -0.67
    vu
    -0.67
    POSITIVE LOGITS
     beet
    1.08
     syrup
    1.06
     cane
    1.04
     sugar
    0.94
    ptive
    0.84
     sweetness
    0.82
     daddy
    0.77
    weed
    0.74
     sugars
    0.74
    aye
    0.74
    Activations Density 0.010%

    No Known Activations