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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. 12-RES-JB
    11. 2713
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    Explanations

    phrases related to decision-making and judgment

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases related to decision-making processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    KC
    -0.79
    NK
    -0.68
    ãĥ¤
    -0.67
    uum
    -0.67
    ãĥ³ãĤ¸
    -0.65
     Cheong
    -0.64
    ifully
    -0.63
    TN
    -0.62
    é¾
    -0.62
    antis
    -0.62
    POSITIVE LOGITS
     maker
    1.15
     makers
    1.12
    makers
    1.12
    making
    1.10
    maker
    1.02
     making
    0.95
     affecting
    0.91
     regarding
    0.90
     Making
    0.89
     about
    0.83
    Activations Density 0.084%

    No Known Activations