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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. 4668
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    Explanations

    words related to medical treatments

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

    phrases related to potential outcomes or actions

    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
    kas
    -0.70
     caution
    -0.70
    ourning
    -0.60
     rul
    -0.60
     warning
    -0.58
     Warning
    -0.58
    warning
    -0.57
    ELD
    -0.57
    pedia
    -0.56
     Choi
    -0.55
    POSITIVE LOGITS
     get
    1.88
    get
    1.74
     got
    1.66
     gotten
    1.64
     gets
    1.64
    Get
    1.58
     Get
    1.57
     getting
    1.57
     GET
    1.51
     Gets
    1.49
    Activations Density 0.396%

    No Known Activations