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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 7044
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    Explanations

    phrases related to the concept of things being manipulated or unfairly influenced

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of being "rigged" in various contexts, particularly related to systems and elections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    grave
    -0.78
    EVA
    -0.75
    gap
    -0.74
    severe
    -0.74
    lication
    -0.74
    chal
    -0.71
    ijk
    -0.71
    exist
    -0.70
     MacArthur
    -0.68
    ciation
    -0.68
    POSITIVE LOGITS
     rigged
    1.55
     rigging
    1.22
    eering
    0.93
     manipulated
    0.75
     rotten
    0.74
     barg
    0.71
     ba
    0.70
     cheating
    0.70
     crooked
    0.70
     sham
    0.70
    Activations Density 0.016%

    No Known Activations