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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. 8-RES-JB
    11. 10236
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    Explanations

    references to specific people and dates

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals and their roles or contributions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SIZE
    -0.63
     Posted
    -0.57
     PID
    -0.56
     problem
    -0.56
    ettel
    -0.55
     typew
    -0.54
    ,'
    -0.54
     sterile
    -0.54
    usterity
    -0.54
    wrong
    -0.54
    POSITIVE LOGITS
     thereto
    0.97
    cellaneous
    0.94
    etheless
    0.93
     respectively
    0.90
     thereafter
    0.90
     thereof
    0.88
    abouts
    0.83
    sequently
    0.78
    çĶ°
    0.78
     versa
    0.76
    Activations Density 1.109%

    No Known Activations