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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
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    Explanations

    mentions of home appliances and their related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of appliances

    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
    thia
    -0.80
    ebra
    -0.70
    oids
    -0.70
    ppo
    -0.67
    nda
    -0.67
    ivas
    -0.66
    oria
    -0.66
     Pad
    -0.66
    ough
    -0.65
    sen
    -0.65
    POSITIVE LOGITS
     appliance
    1.07
     appliances
    0.96
    ufact
    0.84
     fitt
    0.73
    Accessory
    0.71
    iture
    0.69
    stration
    0.68
     sprink
    0.68
     furniture
    0.67
     Appl
    0.67
    Activations Density 0.033%

    No Known Activations