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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. 10-RES-JB
    11. 4383
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    Explanations

    words related to stances or approaches toward different topics or issues

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to governmental and social positions on various issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rete
    -0.81
     teasp
    -0.80
    named
    -0.76
    miah
    -0.70
    loo
    -0.67
    CBC
    -0.67
    DragonMagazine
    -0.65
    RIP
    -0.65
    WER
    -0.65
    uctive
    -0.64
    POSITIVE LOGITS
     combating
    1.35
     tackling
    1.29
     dealing
    1.25
     resolving
    1.15
     addressing
    1.13
     affairs
    1.10
     confronting
    1.09
     matters
    1.09
     issues
    1.08
     protecting
    1.06
    Activations Density 0.254%

    No Known Activations