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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. 20334
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    Explanations

    strings of characters that don't form coherent words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific character or symbol commonly used in text, likely related to formatting or encoding

    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
    vertisement
    -0.83
     mathemat
    -0.81
     strugg
    -0.81
    ¥ŀ
    -0.78
    wcs
    -0.77
     exha
    -0.74
     glim
    -0.74
    axter
    -0.74
     denomin
    -0.73
     unborn
    -0.72
    POSITIVE LOGITS
    âĶĢâĶĢâĶĢâĶĢ
    0.98
    «
    0.93
    =#
    0.93
    د
    0.90
     ÙĪ
    0.89
    ABLE
    0.89
    ãĤĵ
    0.86
    ä¸ī
    0.85
    ĥ
    0.82
    ãĥ¼ãĥ«
    0.82
    Activations Density 0.009%

    No Known Activations