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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. 16176
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    Explanations

    phrases related to importance or necessity in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to political power and important sectors or industries

    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
     Cosponsors
    -0.77
     insulted
    -0.68
    bestos
    -0.66
     needles
    -0.64
     equivalents
    -0.62
    quished
    -0.62
    Tags
    -0.61
     pissed
    -0.61
     Shades
    -0.61
    rities
    -0.59
    POSITIVE LOGITS
     success
    1.20
     survival
    1.16
     longevity
    1.03
     downfall
    0.97
     prosperity
    0.95
     functioning
    0.91
     stability
    0.91
     wellbeing
    0.91
     viability
    0.90
     competitiveness
    0.89
    Activations Density 0.496%

    No Known Activations