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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 21706
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    Explanations

    mentions of the location "Khan" with varying degrees of relevance

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Khan" in various contexts related to individuals and events

    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
    ources
    -0.72
    ension
    -0.71
    ensions
    -0.63
    iculty
    -0.61
    resp
    -0.61
     myster
    -0.61
    OCK
    -0.60
    ISION
    -0.59
    acious
    -0.59
    vable
    -0.58
    POSITIVE LOGITS
    istani
    1.01
    patrick
    0.93
     Khan
    0.85
     Noon
    0.81
    regate
    0.80
    zai
    0.79
    abal
    0.79
     Sheikh
    0.79
    mare
    0.77
    lar
    0.74
    Activations Density 0.024%

    No Known Activations