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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 2621
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    Explanations

    specific groups of entities mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to groups or entities being discussed in various contexts

    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
     unden
    -0.66
    éŃĶ
    -0.63
     instead
    -0.61
     sometime
    -0.60
    çī
    -0.59
     shortly
    -0.59
     earthqu
    -0.56
     unfinished
    -0.56
    rus
    -0.56
     Dimension
    -0.56
    POSITIVE LOGITS
     ever
    1.47
     nor
    1.38
     EVER
    1.32
     dared
    1.25
     bothered
    1.22
    ever
    1.22
     survives
    1.15
     whatsoever
    1.15
     mattered
    1.12
     necessarily
    1.11
    Activations Density 0.237%

    No Known Activations