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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. 20653
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    Explanations

    references to a kitchen

    oai_token-act-pair · gpt-3.5-turbo

    references to kitchens

    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
    Not in Any Lists

    No Comments

    Negative Logits
    âĢ¢âĢ¢
    -0.74
     constitu
    -0.74
    ullah
    -0.70
    inos
    -0.65
    KY
    -0.65
     Trooper
    -0.64
    RAY
    -0.64
    POS
    -0.64
    idem
    -0.63
     RIP
    -0.63
    POSITIVE LOGITS
     kitchen
    1.07
     kitchens
    1.05
    washer
    1.03
     cabinets
    1.01
     cooks
    0.90
    stairs
    0.89
    tops
    0.85
    ware
    0.83
     cafe
    0.83
     drawer
    0.82
    Activations Density 0.010%

    No Known Activations