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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
    11. 13087
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    eway
    -0.72
    aimon
    -0.69
    azel
    -0.67
    itte
    -0.63
    acker
    -0.63
    ather
    -0.62
     estab
    -0.62
     millenn
    -0.61
    wyn
    -0.61
    lear
    -0.60
    POSITIVE LOGITS
    heid
    1.03
    comings
    0.75
    manship
    0.72
    Ħ¢
    0.70
     aside
    0.69
    ractor
    0.67
    bats
    0.67
    seeing
    0.66
    rompt
    0.66
    spection
    0.65
    Activations Density 0.011%

    No Known Activations