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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. 23975
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    Explanations

    mentions of different types of organizations or groups, like schools, universities, and councils, along with actions such as recruitment, targeting, and defending

    oai_token-act-pair · gpt-3.5-turbo

    references to criminal activities or incidents

    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
     stabilization
    -0.81
     honored
    -0.76
    bors
    -0.74
     colorful
    -0.74
    colored
    -0.73
     behaviors
    -0.73
    guyen
    -0.73
     demeanor
    -0.73
     favors
    -0.73
    Center
    -0.73
    POSITIVE LOGITS
     (£
    1.20
     whilst
    1.18
     £
    1.16
     Whilst
    1.10
     recognised
    1.09
     criticised
    1.08
     apologised
    1.06
     Belfast
    1.05
     Ukip
    1.04
     NHS
    1.04
    Activations Density 0.955%

    No Known Activations