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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. 3964
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    Explanations

    phrases related to being caused or driven by something

    oai_token-act-pair · gpt-3.5-turbo

    terms that describe causes or driving factors behind events or changes

    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
    atform
    -0.60
     Canad
    -0.58
    framework
    -0.58
    HAHAHAHA
    -0.53
     TYPE
    -0.52
    assies
    -0.51
    antage
    -0.51
     DRAGON
    -0.51
    ahi
    -0.51
     traged
    -0.51
    POSITIVE LOGITS
     by
    1.40
    by
    1.13
     partly
    1.05
    By
    1.01
     chiefly
    0.97
     principally
    0.97
     BY
    0.96
     largely
    0.95
     primarily
    0.94
     By
    0.92
    Activations Density 0.118%

    No Known Activations