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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. 3-RES-JB
    11. 3093
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    Explanations

    adjectives describing something difficult or complex

    oai_token-act-pair · gpt-3.5-turbo

    adjectives that describe a negative or problematic quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CDC
    -0.75
    eston
    -0.73
     largeDownload
    -0.73
    ITNESS
    -0.71
    MAT
    -0.70
    ETA
    -0.69
    OL
    -0.69
    ocaust
    -0.69
    shows
    -0.67
    GAN
    -0.66
    POSITIVE LOGITS
    ness
    1.08
    uously
    1.05
    nesses
    1.02
    uous
    0.99
    ures
    0.84
    ively
    0.76
    ial
    0.74
     minded
    0.71
    iveness
    0.71
    xious
    0.70
    Activations Density 0.012%

    No Known Activations