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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. 11-RES-JB
    11. 17497
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    Explanations

    sentences related to discussions on various topics like finance, politics, and workplace issues

    oai_token-act-pair · gpt-3.5-turbo

    references to medical treatments and their implications for specific demographic groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     organise
    -0.93
    !'
    -0.93
     organising
    -0.90
    colour
    -0.90
     colourful
    -0.87
     colours
    -0.83
     rumours
    -0.80
     humour
    -0.79
     favourite
    -0.78
     colour
    -0.78
    POSITIVE LOGITS
     "'
    1.33
     "[
    1.25
     "
    1.21
     "âĢ¦
    1.21
     "(
    1.21
     "...
    1.16
     "_
    0.95
     "$
    0.91
     "%
    0.88
     improperly
    0.84
    Activations Density 0.900%

    No Known Activations