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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. 2-RES-JB
    11. 12260
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    Explanations

    words related to specific names or terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names or titles, particularly related to individuals or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Commonwealth
    -0.75
     Scientology
    -0.73
     chemotherapy
    -0.68
     Fairfax
    -0.67
     radiation
    -0.66
     unfocusedRange
    -0.65
     Telegraph
    -0.64
    Leary
    -0.64
    20439
    -0.64
     Playboy
    -0.64
    POSITIVE LOGITS
    amoto
    1.23
    urai
    1.21
     Sak
    1.16
    ata
    1.07
    unin
    1.05
    yu
    1.04
    arin
    1.03
    uri
    1.02
    imura
    1.01
    oda
    1.00
    Activations Density 0.006%

    No Known Activations