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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. 6-RES-JB
    11. 15378
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    Explanations

    dates represented with the format of two numbers separated by punctuation, such as years

    oai_token-act-pair · gpt-3.5-turbo

    references to the 18th and early 19th centuries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orter
    -0.77
    ical
    -0.76
    itional
    -0.76
    ickers
    -0.75
    ovie
    -0.73
    etsk
    -0.72
    olicy
    -0.72
    othe
    -0.72
    adata
    -0.72
    ional
    -0.72
    POSITIVE LOGITS
    650
    1.08
    mph
    0.94
    58
    0.88
    91
    0.87
    th
    0.86
    92
    0.85
    71
    0.85
    85
    0.85
    94
    0.84
    87
    0.83
    Activations Density 0.043%

    No Known Activations