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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. 8250
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    Explanations

    words related to speed and motion

    oai_token-act-pair · gpt-3.5-turbo

    terms related to supersonic objects or events

    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
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    No Comments

    Negative Logits
     è£ıè
    -0.72
    £ı
    -0.70
     Nose
    -0.68
    hillary
    -0.63
    å°Ĩ
    -0.63
     perspective
    -0.62
     intersection
    -0.62
     neural
    -0.61
    shapeshifter
    -0.59
     BRA
    -0.59
    POSITIVE LOGITS
    icient
    0.78
    andom
    0.75
    agine
    0.75
    illance
    0.75
    uti
    0.73
    aco
    0.71
    pants
    0.71
    jan
    0.70
    oku
    0.70
    atti
    0.70
    Activations Density 0.099%

    No Known Activations