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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. 14964
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    INDEX
    Explanations

    specific phrases about experiencing something fully

    oai_token-act-pair · gpt-3.5-turbo

    references to viewing experiences and completeness in relation to various media

    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
    illard
    -0.76
    bane
    -0.73
    chel
    -0.71
    reprene
    -0.70
    Customer
    -0.69
    jobs
    -0.68
    otide
    -0.68
    jriwal
    -0.68
     Calls
    -0.65
     Rebell
    -0.65
    POSITIVE LOGITS
     handheld
    1.07
     projector
    1.02
     1080
    1.01
     stere
    1.00
     retina
    0.98
     screen
    0.98
     cellul
    0.97
     HD
    0.96
     cinema
    0.95
     headphones
    0.95
    Activations Density 0.352%

    No Known Activations