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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. 20650
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    Explanations

    ideas or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to ideas and concepts

    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
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    Negative Logits
     Presbyter
    -0.69
     aging
    -0.68
     ageing
    -0.67
    lee
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    attering
    -0.65
     Presbyterian
    -0.64
    den
    -0.64
    eworthy
    -0.61
     Ago
    -0.60
     disbel
    -0.60
    POSITIVE LOGITS
     brainstorm
    0.85
    ually
    0.84
     inspir
    0.83
    reprene
    0.82
     Ideas
    0.77
    ural
    0.74
    Square
    0.71
    igslist
    0.71
    plates
    0.70
    yout
    0.69
    Activations Density 0.039%

    No Known Activations