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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. 1-RES-JB
    11. 1012
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    Explanations

    individual characters that are not part of any recognizable word or pattern in the text

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of a specific character or symbol

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ascus
    -0.80
     messenger
    -0.78
    Downloadha
    -0.77
    berra
    -0.76
     recorder
    -0.75
    hedral
    -0.75
    antha
    -0.73
    psey
    -0.72
    ebus
    -0.72
     prem
    -0.71
    POSITIVE LOGITS
    Ł
    1.41
    ³
    1.13
    İ
    1.13
    âĶĢâĶĢ
    1.04
    ĩ
    1.01
    ¨
    0.99
    ¿
    0.97
    ł
    0.97
    ĭ
    0.97
    ¹
    0.97
    Activations Density 0.006%

    No Known Activations