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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. 4117
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    Explanations

    technological and scientific terms, especially related to data analysis and industrial processes

    oai_token-act-pair · gpt-3.5-turbo

    technical terminology related to measurement and systems

    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
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    No Comments

    Negative Logits
    nai
    -0.73
    "]=>
    -0.68
    bernatorial
    -0.68
    ghazi
    -0.63
    ccording
    -0.62
    <?
    -0.61
    STON
    -0.61
    reetings
    -0.59
     wondered
    -0.57
    reek
    -0.57
    POSITIVE LOGITS
     onwards
    0.69
     mechanisms
    0.67
     cues
    0.66
     techniques
    0.65
     advisors
    0.63
    igree
    0.63
     catalogue
    0.63
     margin
    0.63
     crafts
    0.63
     standpoint
    0.62
    Activations Density 1.281%

    No Known Activations