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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. 5-RES-JB
    6. 11229
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    Explanations

    phrases related to authority or oversight

    oai_token-act-pair · gpt-3.5-turbo

    repeated conjunctions or phrases emphasizing connections between ideas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DX
    -0.87
    Ĭ±
    -0.76
    BOOK
    -0.73
    shift
    -0.73
    NVIDIA
    -0.73
    Tes
    -0.70
    Ĥİ
    -0.70
    busters
    -0.69
    ---------
    -0.68
    Times
    -0.68
    POSITIVE LOGITS
     consequently
    1.22
     furthermore
    1.14
     thus
    1.08
     therefore
    1.05
     moreover
    1.03
     thence
    1.03
     thereby
    0.99
     assorted
    0.98
     secondly
    0.97
     hence
    0.96
    Activations Density 0.295%

    No Known Activations