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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. 7-RES-JB
    11. 9018
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    Explanations

    instances of confusion or being confused in texts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to confusion and misunderstanding

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eatures
    -0.72
    bors
    -0.71
    inth
    -0.71
    dain
    -0.68
    estate
    -0.68
    thin
    -0.67
    rera
    -0.67
     promot
    -0.64
    ternity
    -0.64
    heimer
    -0.64
    POSITIVE LOGITS
    ingly
    0.94
    fully
    0.78
    INESS
    0.74
     Leilan
    0.73
    ly
    0.73
    lement
    0.72
    ioned
    0.72
     misunderstanding
    0.71
     confuse
    0.70
    ively
    0.69
    Activations Density 0.057%

    No Known Activations