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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. 17760
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to self-improvement or enhancement

    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
    atan
    -0.73
    REDACTED
    -0.70
    warm
    -0.68
    NetMessage
    -0.66
    lication
    -0.65
    WOOD
    -0.65
    isSpecialOrderable
    -0.64
    Warning
    -0.63
    SPONSORED
    -0.63
    ĸļ
    -0.62
    POSITIVE LOGITS
     efficiency
    0.99
     chances
    0.95
     productivity
    0.94
     competitiveness
    0.91
     responsiveness
    0.89
     quality
    0.83
     reliability
    0.83
     skills
    0.83
     hygiene
    0.82
     prospects
    0.82
    Activations Density 0.135%

    No Known Activations