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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. 2-RES-JB
    11. 7332
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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 @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onyms
    -0.85
     consolidation
    -0.85
    onomy
    -0.84
     circulation
    -0.79
    hyde
    -0.79
    opsy
    -0.79
     readiness
    -0.73
    omorphic
    -0.72
     distracted
    -0.71
     deepening
    -0.70
    POSITIVE LOGITS
    ï¸
    1.31
    ÙĨ
    1.14
    ¥
    1.04
    ½
    1.04
    ÙĦ
    1.03
    æľ
    1.02
    åŃIJ
    1.02
    Xi
    1.02
    £
    1.02
    âķIJâķIJ
    0.99
    Activations Density 0.005%

    No Known Activations