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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 9287
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    INDEX
    Explanations

    the concept of misunderstanding or misinterpretation in text

    oai_token-act-pair · gpt-3.5-turbo

    references to misunderstandings and related themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pwr
    -0.66
     ascend
    -0.66
    adder
    -0.62
    binding
    -0.62
    metics
    -0.62
     explicit
    -0.62
    atars
    -0.61
    daq
    -0.61
     stripes
    -0.61
    Action
    -0.59
    POSITIVE LOGITS
     misunderstanding
    2.50
     misunderstand
    2.14
     misunderstood
    1.90
     curiosity
    1.70
     misinterpret
    1.59
     misunder
    1.48
     misconception
    1.33
     prank
    1.25
     misconceptions
    1.20
     diversion
    1.14
    Activations Density 0.057%

    No Known Activations