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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. 10917
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    Explanations

    dates and events

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "mark" and its variations, indicating significant events or milestones

    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
    Not in Any Lists

    No Comments

    Negative Logits
     dstg
    -0.67
    iolet
    -0.63
    æ©Ł
    -0.61
     grasp
    -0.59
    ettel
    -0.58
    urus
    -0.58
     possessed
    -0.56
     revolving
    -0.56
     sidx
    -0.56
    rouse
    -0.55
    POSITIVE LOGITS
     milestones
    0.79
    ¶æ
    0.75
    ushima
    0.73
    manship
    0.73
    mast
    0.72
    ãĤ°
    0.72
     Cutter
    0.70
    enance
    0.69
    owitz
    0.68
    terday
    0.67
    Activations Density 0.036%

    No Known Activations