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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. 9-RES-JB
    11. 3664
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    INDEX
    Explanations

    mentions of having been to specific places

    oai_token-act-pair · gpt-3.5-turbo

    references to personal experiences or past events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.72
    enance
    -0.70
    2020
    -0.68
    iru
    -0.64
     urgently
    -0.62
     upbeat
    -0.60
     suddenly
    -0.59
     2020
    -0.59
    NPR
    -0.58
     opting
    -0.58
    POSITIVE LOGITS
     countless
    1.25
     innumerable
    1.12
     plenty
    0.98
     numerous
    0.93
     alot
    0.85
     LOT
    0.81
     many
    0.79
    umerable
    0.78
     myself
    0.78
    many
    0.75
    Activations Density 0.525%

    No Known Activations