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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. 4276
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    Explanations

    mentions of sports teams and players as well as sport-related activities or situations

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

    references to time and present 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
     Instruments
    -0.58
     forwards
    -0.56
    peed
    -0.55
     upwards
    -0.54
    astically
    -0.53
    WAY
    -0.53
     Virus
    -0.51
     Himself
    -0.51
     Across
    -0.51
     Performance
    -0.50
    POSITIVE LOGITS
    cia
    0.75
    imes
    0.72
    ese
    0.70
    osure
    0.67
    ctor
    0.67
    icum
    0.65
    itu
    0.64
    fur
    0.63
    iHUD
    0.63
    iza
    0.62
    Activations Density 0.071%

    No Known Activations