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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. 8-RES-JB
    6. 23980
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    INDEX
    Explanations

    phrases related to taking action or making a stand

    oai_token-act-pair · gpt-3.5-turbo

    repeated conjunctions and calls to action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wic
    -0.77
    NULL
    -0.71
    notations
    -0.70
    nc
    -0.68
    Reviewer
    -0.67
    unique
    -0.67
    Asset
    -0.67
    far
    -0.67
     Weekly
    -0.66
    iment
    -0.66
    POSITIVE LOGITS
     realize
    0.88
     reap
    0.87
     hopefully
    0.87
     declare
    0.86
     make
    0.84
     enjoy
    0.84
     forth
    0.84
     bask
    0.83
     apologize
    0.83
     let
    0.81
    Activations Density 0.168%

    No Known Activations