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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 3891
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    Explanations

    references to superlatives or extremes, such as "best", "largest", "greatest", and "most"

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the word "in" within various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EngineDebug
    -0.80
    DragonMagazine
    -0.79
    ido
    -0.69
    mil
    -0.68
    oother
    -0.68
    659
    -0.67
    OTH
    -0.67
    bos
    -0.66
    ango
    -0.66
    REL
    -0.63
    POSITIVE LOGITS
    ordinate
    0.99
    clusively
    0.93
    animate
    0.92
    efficiency
    0.90
     vitro
    0.89
    patient
    0.89
     lieu
    0.86
    roads
    0.85
     regards
    0.84
    clusions
    0.84
    Activations Density 0.138%

    No Known Activations