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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. 1638
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    Explanations

    specific company names, especially Lockheed

    oai_token-act-pair · gpt-3.5-turbo

    references to specific companies and organizations, particularly in the defense and sports sectors

    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
     ACTIONS
    -0.76
    hd
    -0.67
    rx
    -0.66
    outer
    -0.63
    ele
    -0.61
    ozo
    -0.61
    catentry
    -0.61
     Forbidden
    -0.59
    race
    -0.59
     appendix
    -0.59
    POSITIVE LOGITS
     Martin
    1.11
     Villa
    0.92
    Mobil
    0.92
     Mub
    0.88
    Martin
    0.86
    ciating
    0.81
    ishing
    0.80
    issan
    0.78
     Siem
    0.77
     Dresden
    0.76
    Activations Density 0.090%

    No Known Activations