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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. 4-RES-JB
    11. 19905
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    Explanations

    the word "udd" followed by a number indicating the strength of activation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "udd" which likely relates to a specific topic or context that is frequently repeated

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

    No Comments

    Negative Logits
     Freedom
    -0.66
    GW
    -0.65
     mast
    -0.61
    APH
    -0.60
     vengeance
    -0.60
     lapse
    -0.59
     lobe
    -0.58
    pora
    -0.57
    BALL
    -0.56
     breath
    -0.56
    POSITIVE LOGITS
    ying
    1.06
    issance
    1.00
    ington
    0.96
    ernaut
    0.93
    udd
    0.90
    ski
    0.90
    ied
    0.89
    ies
    0.88
    erers
    0.88
    ruck
    0.87
    Activations Density 0.012%

    No Known Activations