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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    mentions of or related to the country "India"

    oai_token-act-pair · gpt-3.5-turbo

    references to "Indian" and "India."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lasers
    -0.74
    paces
    -0.71
    RW
    -0.68
    grab
    -0.67
     wip
    -0.67
     Weiss
    -0.63
     buf
    -0.62
    resp
    -0.62
     workspace
    -0.61
    STD
    -0.61
    POSITIVE LOGITS
     Indian
    3.81
    Indian
    3.27
     Indians
    2.75
    India
    2.39
     India
    2.32
     Hindu
    2.13
     Pakistani
    2.05
     Hindi
    1.81
     Hindus
    1.71
     Tibetan
    1.70
    Activations Density 0.015%

    No Known Activations