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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. 7-RES-JB
    11. 23132
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    Explanations

    words related to physical sensations like thirst and hunger

    oai_token-act-pair · gpt-3.5-turbo

    words related to thirst and hunger

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    channelAvailability
    -0.86
     abbrevi
    -0.76
    edu
    -0.72
    struct
    -0.71
    recomm
    -0.69
    idences
    -0.69
     Strait
    -0.69
     Offic
    -0.69
    minus
    -0.68
    semble
    -0.68
    POSITIVE LOGITS
     appetite
    1.07
     thirst
    1.01
     craving
    0.99
     hungry
    0.94
     hunger
    0.90
    ened
    0.89
     thirsty
    0.89
     appet
    0.85
     juices
    0.77
    ening
    0.77
    Activations Density 0.044%

    No Known Activations