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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. 6-RES-JB
    11. 12840
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    Explanations

    various forms of the word "learned"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "learned."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abwe
    -0.77
    idity
    -0.68
    oided
    -0.65
    ataka
    -0.64
    rake
    -0.62
    heads
    -0.62
    abases
    -0.61
    viks
    -0.61
    idia
    -0.60
    vati
    -0.60
    POSITIVE LOGITS
     firsthand
    0.89
    llor
    0.82
    ilage
    0.77
     Curve
    0.75
     Learned
    0.75
    æĥ
    0.75
     srfAttach
    0.74
    Lear
    0.74
    çīĪ
    0.74
     Lauder
    0.72
    Activations Density 0.028%

    No Known Activations