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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. 23018
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    Explanations

    keywords related to physical locations, specifically lobbies

    oai_token-act-pair · gpt-3.5-turbo

    references to lobbying groups and their influence

    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
    orah
    -0.76
     Apostles
    -0.73
     Crus
    -0.71
    ndra
    -0.69
    DIT
    -0.69
     Carbuncle
    -0.68
    forth
    -0.67
    nian
    -0.67
     Runes
    -0.67
    nia
    -0.66
    POSITIVE LOGITS
     lobb
    1.08
     lobby
    1.06
     Lobby
    0.80
    uese
    0.79
     furiously
    0.75
    ature
    0.74
    naires
    0.73
    creen
    0.73
    ounge
    0.72
    ertodd
    0.70
    Activations Density 0.011%

    No Known Activations