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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. 11-RES-JB
    11. 13547
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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 @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     blame
    -0.76
    äºĶ
    -0.62
    appropriately
    -0.61
    irm
    -0.59
     quarrel
    -0.59
     Franch
    -0.57
    emort
    -0.57
     GEAR
    -0.57
     blames
    -0.56
     rash
    -0.56
    POSITIVE LOGITS
     outweigh
    1.05
     afforded
    1.00
     outwe
    0.98
     inherent
    0.97
     conferred
    0.92
     tremend
    0.84
     synerg
    0.83
     Flavoring
    0.82
     abound
    0.80
     achievable
    0.80
    Activations Density 0.264%

    No Known Activations