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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. 0-RES-JB
    11. 6372
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    Explanations

    mentions of commercially available products or services

    oai_token-act-pair · gpt-3.5-turbo

    references to commercial products or services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     accent
    -0.76
    union
    -0.68
    sent
    -0.66
     accents
    -0.65
    ness
    -0.64
     Immigration
    -0.63
    Union
    -0.61
     Ud
    -0.61
     Equality
    -0.61
     borders
    -0.60
    POSITIVE LOGITS
     commercially
    3.16
     marketed
    0.98
     practicable
    0.92
    OSP
    0.90
    TAIN
    0.88
     feasible
    0.88
     newer
    0.87
     cass
    0.85
     domestically
    0.83
     cellul
    0.82
    Activations Density 0.037%

    No Known Activations