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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
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    Explanations

    specific references to the word "Kitchen" and related terms

    oai_token-act-pair · gpt-3.5-turbo

    the mention of kitchens and locations related to them

    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
    ibilities
    -0.83
    utic
    -0.76
    paying
    -0.76
    lect
    -0.74
    ional
    -0.73
    icio
    -0.73
    imester
    -0.69
    inates
    -0.68
    pez
    -0.68
    IBLE
    -0.67
    POSITIVE LOGITS
     Kitchen
    1.11
    chen
    0.85
     Mellon
    0.83
    acan
    0.82
     Mechdragon
    0.80
    loo
    0.78
    Maker
    0.76
     Nightmares
    0.76
    Ont
    0.75
     Steel
    0.74
    Activations Density 0.010%

    No Known Activations