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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. 6-RES-JB
    11. 17327
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    Explanations

    scientific journal and publication references

    oai_token-act-pair · gpt-3.5-turbo

    references to specific scientific journals and their publications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tsky
    -0.75
     lou
    -0.74
     furn
    -0.70
    chio
    -0.69
     strikers
    -0.69
    chwitz
    -0.69
     ceilings
    -0.69
     swast
    -0.68
     burner
    -0.66
    psons
    -0.66
    POSITIVE LOGITS
     Pediatrics
    1.12
     Psychiatry
    1.05
     Neuroscience
    1.05
     Disorders
    0.99
     Biology
    0.99
     Biol
    0.99
     Perspect
    0.95
     Journal
    0.95
    ournals
    0.94
     Supplement
    0.93
    Activations Density 0.103%

    No Known Activations