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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. 0-RES-JB
    11. 16789
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    INDEX
    Explanations

    expressions of gratitude or acknowledgment

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of appreciation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     binding
    -0.71
     Mortal
    -0.67
     Runner
    -0.65
     Repe
    -0.61
     Pul
    -0.59
     dead
    -0.58
     Rolls
    -0.58
     strikes
    -0.57
     Tra
    -0.57
     Trident
    -0.57
    POSITIVE LOGITS
     appreciate
    3.64
     appreciated
    2.55
     appreci
    2.04
     appreciation
    2.04
     appre
    1.85
     cherish
    1.40
     realize
    1.40
     recognize
    1.39
     enjoy
    1.38
     realise
    1.31
    Activations Density 0.018%

    No Known Activations