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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. 2-RES-JB
    11. 14818
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    Explanations

    keywords related to accuracy and correctness

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "correctly" and variations related to accuracy or correctness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hyde
    -0.71
    RED
    -0.68
    oleon
    -0.66
     Valhalla
    -0.65
    EMOTE
    -0.65
    INGS
    -0.64
    RAW
    -0.64
    ĸļ
    -0.61
    aden
    -0.60
    CHO
    -0.60
    POSITIVE LOGITS
     corrected
    1.00
    correct
    0.88
     aligned
    0.86
     correctly
    0.86
     regenerate
    0.80
     alloc
    0.79
     calibrated
    0.79
    Correct
    0.76
     reproduce
    0.76
     correct
    0.76
    Activations Density 0.006%

    No Known Activations