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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. 7-RES-JB
    11. 13955
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    Explanations

    phrases related to social and legal issues, with a focus on the topic of marijuana legalization and governance

    oai_token-act-pair · gpt-3.5-turbo

    recurring characters or entities that are identified with unique phrases or terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     oven
    -0.75
    eering
    -0.73
     Lumpur
    -0.72
     palm
    -0.70
     indemn
    -0.70
     nuts
    -0.70
     redress
    -0.69
     mail
    -0.69
     shelf
    -0.69
     fid
    -0.67
    POSITIVE LOGITS
    meaning
    1.23
    perhaps
    1.16
    they
    1.14
    feat
    1.14
    along
    1.13
    which
    1.12
    these
    1.12
    among
    1.11
    including
    1.11
    where
    1.11
    Activations Density 0.066%

    No Known Activations