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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. 9-RES-JB
    11. 17481
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    Explanations

    phrases related to things going according to plan or not as expected

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating plans or expectations that have not been met

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.67
     Flavoring
    -0.64
     Parenthood
    -0.63
    nih
    -0.62
    pora
    -0.62
     Citation
    -0.61
    ç·
    -0.60
     Divinity
    -0.60
     Discrimination
    -0.59
    ibrary
    -0.59
    POSITIVE LOGITS
    expected
    1.25
     hoped
    1.24
     expected
    1.24
     intended
    1.17
     planned
    1.14
     anticipated
    1.13
    planned
    1.11
     advertised
    1.08
    anticipated
    1.03
     envisioned
    1.00
    Activations Density 0.242%

    No Known Activations