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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. 2755
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    oai_token-act-pair · gpt-3.5-turbo

    a specific sequence of characters or symbols

    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
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    No Comments

    Negative Logits
     Franch
    -0.69
     Pioneer
    -0.66
     seiz
    -0.65
     Nanto
    -0.64
     Reserve
    -0.64
     scattering
    -0.64
     DISTR
    -0.62
     Encounter
    -0.61
    è£ħ
    -0.61
     swept
    -0.60
    POSITIVE LOGITS
    Ŀ
    1.34
    ¡
    1.14
    £
    1.07
    ¦
    0.96
    ®
    0.93
    Ĵ
    0.93
    ĺ
    0.91
    °
    0.91
    ī
    0.90
    atures
    0.89
    Activations Density 0.363%

    No Known Activations