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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. 16641
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
     yield
    -0.67
     opportunities
    -0.66
     jog
    -0.66
     rank
    -0.65
     Wilmington
    -0.64
     bluff
    -0.64
     prostitute
    -0.63
     prostitutes
    -0.62
     wagon
    -0.62
     pyramid
    -0.62
    POSITIVE LOGITS
    ï¸ı
    1.47
    _>
    1.12
    _.
    0.99
    £
    0.98
    âĻ
    0.95
    even
    0.94
    although
    0.92
    ï¸
    0.91
    ðŁĺ
    0.91
    ðŁ
    0.90
    Activations Density 0.234%

    No Known Activations