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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. 6-RES-JB
    11. 11816
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    Explanations

    words related to food preparation and cooking

    oai_token-act-pair · gpt-3.5-turbo

    words related to colors and food preparation techniques

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Authority
    -0.96
     Prophe
    -0.77
     Mast
    -0.69
     Dome
    -0.67
    SEA
    -0.66
     Catch
    -0.66
     Clause
    -0.64
     Charter
    -0.64
     Bunker
    -0.63
     partnership
    -0.63
    POSITIVE LOGITS
    ener
    0.95
    urous
    0.86
    inges
    0.83
    ased
    0.83
    asing
    0.82
    ented
    0.82
    aceous
    0.81
    atal
    0.81
    avored
    0.80
    aze
    0.79
    Activations Density 0.060%

    No Known Activations