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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. 8-RES-JB
    11. 22708
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    INDEX
    Explanations

    statements emphasizing a particular point with a strong sentiment

    oai_token-act-pair · gpt-3.5-turbo

    sentences or clauses that highlight critical observations or conclusions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bounded
    -0.76
     earthqu
    -0.71
     spe
    -0.70
     stray
    -0.69
     millisec
    -0.68
     rou
    -0.68
     broker
    -0.67
     bom
    -0.66
    raph
    -0.66
     nodd
    -0.66
    POSITIVE LOGITS
     Lastly
    1.78
     Finally
    1.38
     Again
    1.35
     Needless
    1.29
     Additionally
    1.27
     Interestingly
    1.25
    Lastly
    1.25
     Notably
    1.23
     Presumably
    1.21
     Overall
    1.17
    Activations Density 0.567%

    No Known Activations