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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. 20526
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    Explanations

    proper nouns, particularly related to entities or organizations, often followed by a phrase in capital letters

    oai_token-act-pair · gpt-3.5-turbo

    references to public relations

    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
     Roses
    -0.72
    Lago
    -0.70
     Waters
    -0.70
     Elves
    -0.68
     Woods
    -0.68
     Tale
    -0.67
     Lotus
    -0.66
     Crosby
    -0.66
     Miner
    -0.66
    hold
    -0.65
    POSITIVE LOGITS
    ODUCT
    1.41
    IME
    0.98
    INC
    0.93
    IZE
    0.92
    udence
    0.89
    onial
    0.88
    ISM
    0.88
    itive
    0.87
    unity
    0.87
    anded
    0.86
    Activations Density 0.007%

    No Known Activations