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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. 8-RES-JB
    11. 8220
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    Explanations

    dates written in the 1800s

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years, particularly in the 1800s

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orter
    -0.72
    ointed
    -0.72
    ical
    -0.69
    ovie
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    ickers
    -0.66
    atown
    -0.66
    itional
    -0.65
    nered
    -0.64
    ique
    -0.63
    itionally
    -0.63
    POSITIVE LOGITS
    650
    1.14
    94
    0.96
    58
    0.95
    91
    0.95
    92
    0.95
    85
    0.92
    87
    0.92
    84
    0.91
    05
    0.91
    03
    0.91
    Activations Density 0.051%

    No Known Activations