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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. 4-RES-JB
    11. 12461
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    Explanations

    references to specific countries

    oai_token-act-pair · gpt-3.5-turbo

    references to various subjects in a context that highlights their significance or impact

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

    No Comments

    Negative Logits
    urse
    -0.53
    asus
    -0.52
     Hockey
    -0.52
    iasis
    -0.52
     Rail
    -0.50
    ILE
    -0.50
     Spartan
    -0.50
     Hus
    -0.50
     Rifle
    -0.49
     Romeo
    -0.49
    POSITIVE LOGITS
    afety
    0.97
    ynthesis
    0.85
    pread
    0.83
    uggest
    0.81
    ensitive
    0.78
    ugar
    0.76
    hip
    0.76
    ometimes
    0.76
    pring
    0.74
    mith
    0.73
    Activations Density 0.736%

    No Known Activations