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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. 2969
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    INDEX
    Explanations

    phrases related to nutritional information, such as calories per serving

    oai_token-act-pair · gpt-3.5-turbo

    references to food-related inventories or quantities

    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
    Į
    -0.64
    rella
    -0.63
    rab
    -0.63
    MSN
    -0.61
    Ķ
    -0.59
    >>>>
    -0.58
    Beg
    -0.58
     TSA
    -0.58
    zee
    -0.56
    oway
    -0.56
    POSITIVE LOGITS
    ories
    0.92
    ynthesis
    0.88
    pring
    0.83
    ource
    0.82
    mith
    0.78
    ync
    0.77
    poons
    0.74
    hops
    0.74
    peak
    0.73
    uggest
    0.72
    Activations Density 0.016%

    No Known Activations