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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. 1-RES-JB
    11. 21629
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    Explanations

    proper nouns in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    specific names or identifiers related to political entities or individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ivy
    -0.85
     Hollywood
    -0.73
     Shack
    -0.69
     Harvard
    -0.67
     Hearts
    -0.67
     Charisma
    -0.67
     Virgin
    -0.66
     IBM
    -0.63
     Telescope
    -0.63
     BlackBerry
    -0.63
    POSITIVE LOGITS
    ÄŁ
    1.43
    ı
    1.21
    oÄŁan
    1.16
    istani
    1.10
    oÄŁ
    1.00
    ÅŁ
    0.97
    ugal
    0.95
    irez
    0.93
    uz
    0.90
    lu
    0.89
    Activations Density 0.003%

    No Known Activations