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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. 17112
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    Explanations

    phrases related to tasks or actions that need to be undertaken

    oai_token-act-pair · gpt-3.5-turbo

    phrases centered around the concept of actions or changes needed

    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
    inel
    -0.73
    Fif
    -0.64
     srfAttach
    -0.62
     expire
    -0.61
    endum
    -0.60
    oak
    -0.60
    DF
    -0.56
     fray
    -0.54
     disperse
    -0.54
    ORGE
    -0.53
    POSITIVE LOGITS
     done
    1.64
     accomplished
    1.45
     achieved
    1.26
    done
    1.19
     Done
    1.12
     happening
    1.05
     gained
    1.05
     glean
    1.02
     undertaken
    1.01
    said
    1.01
    Activations Density 0.089%

    No Known Activations