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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. 1-RES-JB
    11. 16314
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    Explanations

    phrases containing the word "incorrect" with varying levels of severity

    oai_token-act-pair · gpt-3.5-turbo

    terms related to incorrectness or errors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agra
    -0.82
    ramid
    -0.81
    plot
    -0.77
    rament
    -0.75
    lymp
    -0.75
    arnaev
    -0.74
    uster
    -0.74
    bern
    -0.73
    abiding
    -0.72
    clud
    -0.72
    POSITIVE LOGITS
     inaccurate
    1.20
     incorrect
    1.19
     inaccur
    1.13
     incorrectly
    1.11
     erroneous
    1.10
     misinformation
    1.10
     misconceptions
    1.01
     misinterpret
    0.92
     errone
    0.91
     misconception
    0.90
    Activations Density 0.011%

    No Known Activations