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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. 772
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    Explanations

    words related to the process of toasting or roasting

    oai_token-act-pair · gpt-3.5-turbo

    words related to cooking or food preparation

    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
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    No Comments

    Negative Logits
    andro
    -0.78
    otiation
    -0.72
     conting
    -0.69
    legal
    -0.68
    ensing
    -0.66
    pheus
    -0.66
     unaff
    -0.65
    plets
    -0.63
    idency
    -0.62
    sie
    -0.62
    POSITIVE LOGITS
    asting
    1.17
    asts
    1.15
    asted
    1.09
    AST
    1.03
    OME
    0.93
     Delicious
    0.84
    aster
    0.78
     Meal
    0.74
    Delivery
    0.73
    otle
    0.73
    Activations Density 0.006%

    No Known Activations