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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. 10-RES-JB
    11. 23351
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    INDEX
    Explanations

    instances where an action or situation has been observed multiple times or in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to shared experiences or memories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iru
    -0.63
    anwhile
    -0.62
    conference
    -0.62
    IFT
    -0.61
    enance
    -0.59
    oration
    -0.57
    Instead
    -0.57
    ))))
    -0.57
     woke
    -0.56
    Accessory
    -0.56
    POSITIVE LOGITS
     countless
    1.32
     innumerable
    1.12
     numerous
    1.07
     plenty
    1.07
     before
    1.02
     extensively
    0.99
     BEFORE
    0.92
     many
    0.91
     twice
    0.91
     dozens
    0.88
    Activations Density 0.538%

    No Known Activations