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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. 8-RES-JB
    11. 3156
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    Explanations

    phrases related to the process of learning

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "learned" or its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    govtrack
    -0.67
    heads
    -0.62
    dq
    -0.61
    oscope
    -0.61
    ordered
    -0.61
    lished
    -0.61
    ataka
    -0.61
    cise
    -0.60
    pei
    -0.60
    abwe
    -0.60
    POSITIVE LOGITS
     lessons
    0.89
     firsthand
    0.88
     lesson
    0.84
     Curve
    0.81
     humility
    0.79
    itudinal
    0.77
     Teach
    0.76
    llor
    0.75
    learn
    0.71
     learnt
    0.71
    Activations Density 0.046%

    No Known Activations