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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. 9-RES-JB
    11. 17888
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    Explanations

    phrases related to legislative processes

    oai_token-act-pair · gpt-3.5-turbo

    references to governmental or legislative actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.90
    iHUD
    -0.85
    amac
    -0.69
    ivas
    -0.69
    steen
    -0.68
    etsu
    -0.68
    eton
    -0.66
    achi
    -0.66
    thood
    -0.64
    isson
    -0.64
    POSITIVE LOGITS
     bloodstream
    1.11
     realm
    0.91
     highest
    0.88
     wider
    0.87
     forefront
    0.84
     hands
    0.82
     appropriate
    0.81
     landfill
    0.81
     same
    0.80
     broader
    0.79
    Activations Density 0.270%

    No Known Activations