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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. 10-RES-JB
    11. 6180
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    Explanations

    scientific literature references

    oai_token-act-pair · gpt-3.5-turbo

    references to academic journals and publications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kefeller
    -0.76
    chio
    -0.76
    iband
    -0.71
    yip
    -0.71
    haul
    -0.70
    hower
    -0.68
    ledged
    -0.67
     hashing
    -0.66
    gerald
    -0.66
    ||||
    -0.65
    POSITIVE LOGITS
     Biol
    1.31
     Sci
    1.24
     Psychiatry
    1.17
     Phys
    1.09
     Clin
    1.08
     Methods
    1.07
    Phys
    1.05
     Pharmac
    1.02
     Neuro
    1.00
     Soc
    1.00
    Activations Density 0.056%

    No Known Activations