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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
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    Explanations

    expressions of gratitude or thankfulness

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude

    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
    etc
    -0.74
    Nazi
    -0.72
     Kant
    -0.72
    orig
    -0.70
    Around
    -0.68
    FT
    -0.67
    adj
    -0.66
    Dest
    -0.66
    calling
    -0.66
    Java
    -0.64
    POSITIVE LOGITS
     citiz
    1.17
     grateful
    1.10
     thankful
    1.06
     gratitude
    1.00
     acknowled
    0.96
    owship
    0.91
     acknowledgment
    0.89
     appre
    0.88
     gobl
    0.86
     obliged
    0.85
    Activations Density 0.008%

    No Known Activations