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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. 6-RES-JB
    11. 601
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    INDEX
    Explanations

    mentions of specific laws

    oai_token-act-pair · gpt-3.5-turbo

    references to laws and regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yss
    -0.74
    ience
    -0.70
    ortun
    -0.68
    anche
    -0.65
    emonic
    -0.64
    actory
    -0.63
    atha
    -0.63
    Naz
    -0.62
     Mous
    -0.62
    joy
    -0.62
    POSITIVE LOGITS
     enforcement
    1.30
     governing
    1.21
     prohibiting
    1.15
     regulating
    1.13
    enforcement
    1.11
     enacted
    1.06
     Enforcement
    1.06
    breakers
    1.02
    abiding
    0.99
     enforcing
    0.99
    Activations Density 0.025%

    No Known Activations