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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. 11343
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    Explanations

    website URLs

    oai_token-act-pair · gpt-3.5-turbo

    specific mentions of websites or URLs

    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
     XY
    -1.02
    Ze
    -0.89
    âĸĪâĸĪâĸĪâĸĪ
    -0.88
    XY
    -0.86
    ZE
    -0.83
     benz
    -0.79
     Ze
    -0.78
    EX
    -0.76
     Chandler
    -0.76
    eva
    -0.75
    POSITIVE LOGITS
     Mul
    2.23
     mul
    1.55
     Kil
    1.36
     Pul
    1.34
     Kul
    1.34
     Mull
    1.30
     Gul
    1.27
     Sul
    1.26
     Dul
    1.25
     Cull
    1.24
    Activations Density 0.312%

    No Known Activations