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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. 8-RES-JB
    11. 10184
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    Explanations

    phrases related to being in front of something or someone

    oai_token-act-pair · gpt-3.5-turbo

    references to being in front of an audience or group

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     newsletters
    -0.73
    Course
    -0.71
    berman
    -0.68
    nell
    -0.65
    ãĥ¼ãĥ«
    -0.62
     partnerships
    -0.61
    STEM
    -0.59
    vant
    -0.59
    -$
    -0.58
     partnering
    -0.58
    POSITIVE LOGITS
     fireplace
    0.94
     cameras
    0.89
     altar
    0.89
     interviewer
    0.81
     throne
    0.81
    orescent
    0.80
     magistrate
    0.79
     majesty
    0.79
     podium
    0.78
     tribunal
    0.78
    Activations Density 0.226%

    No Known Activations