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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. 5865
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    oai_token-act-pair · gpt-3.5-turbo

    sentences that convey strong opinions or conclusions

    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
     carbohyd
    -0.93
     pione
    -0.92
     earthqu
    -0.90
     teasp
    -0.86
    escription
    -0.81
     exclusively
    -0.79
     unsus
    -0.78
     favourable
    -0.76
     millenn
    -0.72
    usha
    -0.70
    POSITIVE LOGITS
     Especially
    1.82
     Particularly
    1.46
     Anyway
    1.44
     Wouldn
    1.43
     Surely
    1.40
     Besides
    1.32
     Moreover
    1.30
     Nonetheless
    1.27
    Especially
    1.27
     Certainly
    1.24
    Activations Density 0.491%

    No Known Activations