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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. 7-RES-JB
    11. 3711
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    Explanations

    phrases indicating start or beginning

    oai_token-act-pair · gpt-3.5-turbo

    terms related to events, their timing, and durations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     hesitate
    -0.68
     manoeuv
    -0.66
    anyon
    -0.64
     clipboard
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    Reviewer
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    oult
    -0.61
     manually
    -0.61
     glide
    -0.61
    ettel
    -0.60
    %;
    -0.60
    POSITIVE LOGITS
    ONSORED
    0.79
    sole
    0.76
    tained
    0.73
    CLUD
    0.71
    days
    0.70
    ersed
    0.68
     Supplement
    0.68
     SDL
    0.67
    tains
    0.67
    actionDate
    0.66
    Activations Density 0.556%

    No Known Activations