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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. 8-RES-JB
    11. 8376
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    INDEX
    Explanations

    phrases indicating a desire or intention to do something

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or intention to take action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ById
    -0.74
     Apart
    -0.70
     Distribut
    -0.64
     adolesc
    -0.63
     Chosen
    -0.63
     Hess
    -0.62
     Kinnikuman
    -0.61
     Leh
    -0.58
    Guard
    -0.58
    furt
    -0.58
    POSITIVE LOGITS
     congratulate
    1.24
     reiterate
    1.20
     clarify
    1.19
     thank
    1.18
     emphasize
    1.11
     propose
    1.07
     dedicate
    1.06
     THANK
    1.06
     revisit
    1.05
     assure
    1.03
    Activations Density 0.115%

    No Known Activations