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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
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    Explanations

    mentions of the region of Tibet and related activities or entities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Tibet and Tibetan culture

    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
    ãĥīãĥ©
    -0.81
     posit
    -0.73
    xon
    -0.67
    ISTER
    -0.67
    eff
    -0.64
     Hitchcock
    -0.62
    vous
    -0.61
    NOT
    -0.60
     Ack
    -0.60
    isner
    -0.60
    POSITIVE LOGITS
    jiang
    0.84
     Buddhism
    0.84
     Nadu
    0.83
    ans
    0.82
     Tibet
    0.80
     Buddh
    0.78
    ania
    0.76
     Buddhist
    0.73
    utan
    0.72
    yrinth
    0.69
    Activations Density 0.007%

    No Known Activations