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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. 4-RES-JB
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    Explanations

    years mentioned in the form of decades

    oai_token-act-pair · gpt-3.5-turbo

    references to specific decades, particularly the 1960s, 1970s, and 1980s

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

    No Comments

    Negative Logits
    phabet
    -0.74
    ournals
    -0.72
    Package
    -0.71
    rotein
    -0.69
    Compan
    -0.69
    edIn
    -0.69
    acts
    -0.69
     parcels
    -0.67
    */(
    -0.66
    subject
    -0.64
    POSITIVE LOGITS
     onwards
    0.98
     era
    0.96
     onward
    0.94
    ixties
    0.94
     Era
    0.92
    enegger
    0.77
    outhern
    0.71
     century
    0.71
     nostalg
    0.71
     Patton
    0.69
    Activations Density 0.041%

    No Known Activations