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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. 11-RES-JB
    11. 517
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    Explanations

    descriptions of architectural features and design elements

    oai_token-act-pair · gpt-3.5-turbo

    descriptive phrases related to architectural elements and their visual qualities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     WEEK
    -0.69
     Priority
    -0.68
     Gain
    -0.67
     Dangerous
    -0.67
     Act
    -0.66
     Week
    -0.66
    ENTION
    -0.64
    Reason
    -0.64
     Mellon
    -0.63
     Persons
    -0.62
    POSITIVE LOGITS
     shimmer
    1.07
    like
    1.06
     haze
    1.03
     skyline
    1.02
     glow
    0.99
    lit
    0.98
     silhou
    0.97
     canopy
    0.95
    aceous
    0.94
     swirl
    0.90
    Activations Density 0.319%

    No Known Activations