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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. 11-RES-JB
    11. 12286
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    Explanations

    words related to criticism or negative evaluation

    oai_token-act-pair · gpt-3.5-turbo

    variations of the root word "shun" and its derivatives, often in contexts related to rejection or avoidance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IDES
    -0.65
    ource
    -0.64
     reconc
    -0.63
    MU
    -0.60
     Lowell
    -0.59
     payable
    -0.58
     ÙĪ
    -0.57
    ij
    -0.56
    IDE
    -0.55
     abst
    -0.53
    POSITIVE LOGITS
    ting
    2.47
    ted
    2.18
    ned
    1.83
    ters
    1.75
    ning
    1.74
    ched
    1.61
    ches
    1.54
    ts
    1.50
    ner
    1.49
    ter
    1.45
    Activations Density 0.112%

    No Known Activations