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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. 21970
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    Explanations

    phrases related to whisking or stirring ingredients in cooking recipes

    oai_token-act-pair · gpt-3.5-turbo

    words related to whisking and whisky

    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
     revolving
    -0.76
    SOURCE
    -0.68
     CODE
    -0.65
     prescription
    -0.65
     mediation
    -0.58
     inaccurate
    -0.58
     Dome
    -0.58
     perverse
    -0.58
     reper
    -0.58
    FUL
    -0.57
    POSITIVE LOGITS
     whisk
    1.37
    zee
    0.98
    ers
    0.97
    eenth
    0.90
    itudinal
    0.87
    eness
    0.87
    ings
    0.86
    eworks
    0.86
    ery
    0.85
    ies
    0.85
    Activations Density 0.008%

    No Known Activations