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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. 4-RES-JB
    11. 9097
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    Explanations

    references to data backups or backup plans

    oai_token-act-pair · gpt-3.5-turbo

    references to backup systems and processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kie
    -0.93
    oria
    -0.90
    hips
    -0.90
    abad
    -0.84
    iji
    -0.81
    atform
    -0.81
    uana
    -0.78
    otle
    -0.76
    doms
    -0.76
    isan
    -0.76
    POSITIVE LOGITS
     singers
    0.88
     dancers
    0.85
     backup
    0.81
    username
    0.79
     Backup
    0.75
     generators
    0.75
     catcher
    0.73
     tapes
    0.67
     backups
    0.66
     sanity
    0.66
    Activations Density 0.009%

    No Known Activations