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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. 4135
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    Explanations

    4-digit numbers that represent years in the 1990s

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 1990 and its historical context

    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
    ndra
    -0.76
    jriwal
    -0.74
     lightsaber
    -0.73
    hire
    -0.71
    llers
    -0.70
    holder
    -0.70
    Edge
    -0.69
    bow
    -0.67
    uve
    -0.66
    holders
    -0.64
    POSITIVE LOGITS
    ĸļ
    1.01
    ãĥŁ
    0.74
    ãĤ¦ãĤ¹
    0.73
    sburg
    0.67
    rade
    0.67
    ãĥĥãĥĪ
    0.65
    å¹
    0.65
     ����
    0.64
    aji
    0.64
    -'
    0.63
    Activations Density 0.024%

    No Known Activations