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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. 3-RES-JB
    11. 4246
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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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     prefrontal
    -0.76
    arios
    -0.72
     logger
    -0.71
     narrowly
    -0.69
    iewicz
    -0.68
     Aber
    -0.67
    aic
    -0.67
     gestation
    -0.65
     synerg
    -0.65
     ASA
    -0.64
    POSITIVE LOGITS
    ¾
    1.00
    ¹
    0.89
    Ķ
    0.87
    Ĩ
    0.87
    Ĭ
    0.87
    İ
    0.86
    µ
    0.85
    Column
    0.85
    λ
    0.85
    ¬
    0.85
    Activations Density 0.003%

    No Known Activations