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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. 13878
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    Explanations

    sports-related terms, specifically related to winning and losing streaks

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to winning streaks in competitive contexts

    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
     taxp
    -0.68
    furt
    -0.65
     Attention
    -0.61
     constituencies
    -0.60
     constituency
    -0.59
    ij士
    -0.58
    rient
    -0.58
    izabeth
    -0.58
    ocate
    -0.57
     GOODMAN
    -0.57
    POSITIVE LOGITS
     streak
    1.16
     snapped
    1.01
     spanning
    0.96
     capped
    0.91
     streaks
    0.91
     dating
    0.88
     ending
    0.82
     unbeaten
    0.82
     culminating
    0.81
     stretching
    0.79
    Activations Density 0.048%

    No Known Activations