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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. 23176
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    Explanations

    phrases related to cooking with a focus on using certain ingredients

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "sauté" or variations of it

    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
    INGTON
    -0.83
    itarian
    -0.80
    enegger
    -0.79
    ãĥ¼ãĥĨãĤ£
    -0.77
    hips
    -0.77
    姫
    -0.71
    etheless
    -0.70
    LIN
    -0.69
    ãĥ¯ãĥ³
    -0.69
     accounting
    -0.67
    POSITIVE LOGITS
    pling
    1.13
    ven
    1.08
    arin
    0.97
    uten
    0.96
    llan
    0.95
    uth
    0.93
    ucer
    0.93
    aaaa
    0.92
    plings
    0.91
    uter
    0.89
    Activations Density 0.005%

    No Known Activations