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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. 8941
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    Explanations

    adverbs indicating continuous or repetitive action

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate ongoing or repetitive actions

    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
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    No Comments

    Negative Logits
    ramid
    -0.85
    rule
    -0.82
    ENA
    -0.79
    inals
    -0.78
    OLOGY
    -0.74
    hemy
    -0.74
    rome
    -0.73
    agra
    -0.72
    lda
    -0.72
    asty
    -0.71
    POSITIVE LOGITS
     churn
    0.99
    motion
    0.98
    ãĤ£
    0.98
     renew
    0.92
     evolving
    0.90
     updating
    0.88
     striving
    0.86
     fluct
    0.86
     worrying
    0.85
     revolving
    0.85
    Activations Density 0.051%

    No Known Activations