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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. 1-RES-JB
    11. 886
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to fundamental concepts or foundational principles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ©¶æ
    -0.64
     electronically
    -0.64
     sher
    -0.63
     drink
    -0.59
     jog
    -0.58
     deduct
    -0.58
    Ly
    -0.58
    soDeliveryDate
    -0.58
     alternate
    -0.58
     pant
    -0.57
    POSITIVE LOGITS
    ament
    1.56
    aments
    1.29
    amental
    0.94
    arie
    0.92
    arium
    0.86
    itbart
    0.85
    edly
    0.82
    hement
    0.82
    ations
    0.81
    ulo
    0.81
    Activations Density 0.008%

    No Known Activations