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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. 10-RES-JB
    11. 10756
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    Explanations

    expressions of gratitude

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude and thankfulness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     advoc
    -0.66
    ãĥ¯ãĥ³
    -0.66
    Ranked
    -0.65
    Downloadha
    -0.63
    ãĤ«
    -0.62
    opers
    -0.62
    idation
    -0.61
    okin
    -0.61
    arios
    -0.61
    inates
    -0.60
    POSITIVE LOGITS
    giving
    1.17
    fulness
    0.83
     acknowled
    0.83
     for
    0.83
     God
    0.82
     pardon
    0.78
    gements
    0.78
     Almighty
    0.76
    ness
    0.75
    NESS
    0.74
    Activations Density 0.041%

    No Known Activations