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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

    phrases related to eating food

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the act of eating

    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
     Stellar
    -0.76
     McKenna
    -0.73
     Archangel
    -0.73
     Gemini
    -0.71
     PV
    -0.70
    channelAvailability
    -0.70
     Lash
    -0.69
     Aus
    -0.69
     Stra
    -0.68
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.66
    POSITIVE LOGITS
     habits
    1.04
     eat
    1.01
     eaten
    0.97
    eteria
    0.96
    udi
    0.91
     foods
    0.91
     eating
    0.89
     breakfast
    0.88
    esta
    0.88
     Eat
    0.86
    Activations Density 0.022%

    No Known Activations