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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
    11. 21105
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    Explanations

    phrases related to food and cooking, particularly focusing on caramelization

    oai_token-act-pair · gpt-3.5-turbo

    references to caramel and its variations in food contexts

    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
    SL
    -0.82
    SN
    -0.77
     Citation
    -0.76
    NN
    -0.74
    ij士
    -0.74
     Editors
    -0.69
    NG
    -0.68
     Icar
    -0.68
     Fighter
    -0.68
    enty
    -0.68
    POSITIVE LOGITS
    amel
    1.15
    ization
    1.01
    ized
    0.97
     coloring
    0.92
    izations
    0.89
    ised
    0.89
    amination
    0.83
    osaurus
    0.79
    isation
    0.78
     caramel
    0.78
    Activations Density 0.014%

    No Known Activations