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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. 13217
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    Explanations

    words related to awards and recognition

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various types of awards

    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
    ohyd
    -0.70
    ths
    -0.68
    tera
    -0.64
    apse
    -0.64
     Anon
    -0.63
     Rebell
    -0.62
     impe
    -0.61
     dstg
    -0.61
     pores
    -0.60
    hed
    -0.60
    POSITIVE LOGITS
     winner
    1.10
     awarded
    1.07
     winners
    1.07
    winning
    1.04
     laure
    1.04
    Winner
    1.03
     nominations
    1.00
     awards
    0.98
     ceremony
    0.96
     prizes
    0.96
    Activations Density 0.043%

    No Known Activations