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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. 7-RES-JB
    11. 13543
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    Explanations

    action verbs or actions that require effort or initiative

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express ease of action or simplicity in processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orses
    -0.71
    ļé
    -0.68
    Dur
    -0.67
    ĸļ
    -0.66
    ¬¼
    -0.64
    ŀ
    -0.63
    IAL
    -0.63
    ONSORED
    -0.63
     favors
    -0.62
     Brach
    -0.61
    POSITIVE LOGITS
     navigate
    0.96
     manipulate
    0.92
     identify
    0.89
     attain
    0.86
     learn
    0.86
     digest
    0.86
     achieve
    0.85
     visualize
    0.84
     assemble
    0.83
     forget
    0.81
    Activations Density 0.084%

    No Known Activations