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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. 7-RES-JB
    11. 21493
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    Explanations

    phrases related to ingredients or components in recipes or products

    oai_token-act-pair · gpt-3.5-turbo

    instances of quantities, measurements, or applicable components in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Beir
    -0.75
    Hur
    -0.72
     Grayson
    -0.69
    Iraq
    -0.67
    adel
    -0.66
     Cerberus
    -0.66
    Syria
    -0.65
    justice
    -0.65
    York
    -0.64
    Syrian
    -0.64
    POSITIVE LOGITS
     inherently
    0.80
     rigid
    0.76
     specialized
    0.74
     similar
    0.74
     complex
    0.73
     intricate
    0.72
     specialize
    0.72
     differently
    0.71
     contain
    0.69
     multim
    0.69
    Activations Density 0.559%

    No Known Activations