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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. 847
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    Explanations

    features related to visual and physical characteristics, material composition, and design aesthetics

    oai_token-act-pair · gpt-3.5-turbo

    elements related to physical attributes and design features

    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
    xious
    -0.66
    inar
    -0.63
     certs
    -0.63
    Lear
    -0.62
    untarily
    -0.61
    irs
    -0.59
    ropolitan
    -0.56
     PHI
    -0.55
    untary
    -0.54
     ABE
    -0.54
    POSITIVE LOGITS
     reminiscent
    1.41
     contrasted
    1.14
     resembling
    1.01
     flanked
    1.01
     coupled
    0.99
     adorned
    0.99
     featuring
    0.98
     topped
    0.98
     paired
    0.94
     sandwic
    0.89
    Activations Density 0.313%

    No Known Activations