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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. 3-RES-JB
    11. 3165
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    Explanations

    proper nouns related to a specific location or person named "Khan"

    oai_token-act-pair · gpt-3.5-turbo

    references to the location "Khan Shaykhun" and its context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FACE
    -0.69
    ension
    -0.66
    ources
    -0.66
    vable
    -0.65
     myster
    -0.63
    ection
    -0.63
    iculty
    -0.62
    ENCE
    -0.62
    æĥ
    -0.62
    ISION
    -0.62
    POSITIVE LOGITS
    istani
    1.02
     Khan
    0.99
     Sheikh
    0.88
    patrick
    0.84
    abal
    0.83
    zai
    0.81
    regate
    0.80
    wal
    0.79
    atin
    0.78
     Rah
    0.77
    Activations Density 0.007%

    No Known Activations