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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. 23507
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    Explanations

    names of car brands

    oai_token-act-pair · gpt-3.5-turbo

    names of car brands and manufacturers

    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
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.79
    umbn
    -0.76
    Ñĭ
    -0.70
    arah
    -0.70
    alid
    -0.69
    itcher
    -0.68
     Hodg
    -0.68
    ydia
    -0.68
     Flavoring
    -0.67
    isite
    -0.67
    POSITIVE LOGITS
    Benz
    1.13
     Benz
    1.11
     dealership
    0.96
     Cars
    0.89
     sedan
    0.84
     Porsche
    0.83
     Volvo
    0.81
     OEM
    0.76
     BMW
    0.75
     automobiles
    0.74
    Activations Density 0.010%

    No Known Activations