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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. 9-RES-JB
    11. 20147
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    Explanations

    references to physical attributes and descriptions

    oai_token-act-pair · gpt-3.5-turbo

    descriptions related to visuals and appearance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Financial
    -0.81
     Lifetime
    -0.70
     commitments
    -0.67
     fostering
    -0.67
    benef
    -0.66
     initiatives
    -0.66
     abstinence
    -0.66
    ongo
    -0.65
     concess
    -0.65
     Ethics
    -0.64
    POSITIVE LOGITS
     blurry
    1.19
     zoom
    1.16
     pics
    1.07
     resemblance
    1.06
     magnification
    1.05
     markings
    1.01
     textures
    1.00
     pixel
    0.99
     visually
    0.99
     photograph
    0.98
    Activations Density 0.919%

    No Known Activations