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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. 8638
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    Explanations

    phrases related to historical events or biographical information

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and places associated with specific events or entities

    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
     fuss
    -0.64
    ))))
    -0.64
     wonders
    -0.63
     afterlife
    -0.63
    ictions
    -0.63
     thrive
    -0.62
    )))
    -0.61
     cures
    -0.61
     menace
    -0.60
     hurts
    -0.60
    POSITIVE LOGITS
    ,[
    0.79
     whereas
    0.74
     insofar
    0.72
     circa
    0.71
     Ples
    0.68
     (#
    0.67
     but
    0.66
     rather
    0.65
     pursuant
    0.65
     originally
    0.65
    Activations Density 0.805%

    No Known Activations