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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. 9-RES-JB
    11. 5529
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    Explanations

    phrases mentioning specific academic institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to educational institutions and their associated departments or fields of study

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amount
    -0.88
     stride
    -0.69
    ãĤ¨ãĥ«
    -0.67
     checkpoints
    -0.67
    issions
    -0.66
     amen
    -0.66
     piles
    -0.65
    minus
    -0.64
    ibly
    -0.63
     delet
    -0.63
    POSITIVE LOGITS
     Medicine
    1.19
     Veterinary
    0.98
    iatrics
    0.96
     Mathematics
    0.89
     Psychology
    0.89
     Pharm
    0.89
     Engineering
    0.88
     Management
    0.88
     Biology
    0.88
     Architecture
    0.88
    Activations Density 0.049%

    No Known Activations