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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. 0-RES-JB
    11. 1951
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    Explanations

    references to engines, particularly focusing on 'Engine' with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various types of engines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     paran
    -0.83
     withdrawal
    -0.79
     bisexual
    -0.77
     mosqu
    -0.76
     dip
    -0.72
     jerk
    -0.71
     saf
    -0.70
     boycott
    -0.69
     hypocr
    -0.69
     salsa
    -0.68
    POSITIVE LOGITS
     Engine
    3.79
    engine
    2.43
    Engine
    2.23
    Eng
    1.51
     engine
    1.33
     ENG
    1.30
     Engineering
    1.29
     Eng
    1.28
     engines
    1.21
    ENG
    1.21
    Activations Density 0.023%

    No Known Activations