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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. 6-RES-JB
    6. 18612
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    INDEX
    Explanations

    phrases related to beliefs or assumptions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "to" indicating intention or belief

    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
    river
    -0.77
    noticed
    -0.66
    bats
    -0.65
    case
    -0.64
     Perspective
    -0.64
     viewer
    -0.61
     Rapids
    -0.61
     Spaces
    -0.60
    finder
    -0.60
    iott
    -0.60
    POSITIVE LOGITS
     be
    1.04
     embody
    0.96
     originate
    0.92
     indicate
    0.91
     derive
    0.89
     resemble
    0.89
     belong
    0.89
     signify
    0.87
     have
    0.87
     imply
    0.86
    Activations Density 0.110%

    No Known Activations