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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. 7-RES-JB
    11. 3836
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to international organizations and institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reads
    -0.75
    nen
    -0.67
    cale
    -0.66
    axter
    -0.65
    esville
    -0.65
    cells
    -0.65
     flats
    -0.64
    espie
    -0.63
    rand
    -0.63
    steen
    -0.62
    POSITIVE LOGITS
     Transfer
    0.84
     Relations
    0.83
     Treaty
    0.82
     Assistance
    0.82
     Exhibition
    0.76
     Tribunal
    0.74
     Affairs
    0.71
     Organisation
    0.70
     Regulations
    0.69
     Lia
    0.68
    Activations Density 0.132%

    No Known Activations