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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 17878
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    INDEX
    Explanations

    specific geographical locations or points of interest within a place

    oai_token-act-pair · gpt-3.5-turbo

    sentence endings and punctuation marks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     volunte
    -0.92
     bonded
    -0.81
     entreprene
    -0.81
     lockdown
    -0.78
     escort
    -0.76
     undercover
    -0.76
     barric
    -0.75
     haunted
    -0.75
     waged
    -0.75
     whistle
    -0.74
    POSITIVE LOGITS
     Therefore
    1.74
     Thus
    1.67
     Hence
    1.59
     Consequently
    1.53
     Interestingly
    1.52
    Therefore
    1.51
     Conversely
    1.50
    Thus
    1.45
     Assuming
    1.45
     Similarly
    1.44
    Activations Density 0.388%

    No Known Activations