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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. 7939
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    Explanations

    expressions of positive feedback and support

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude and support from an audience

    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
     bis
    -0.70
     fug
    -0.68
    olester
    -0.68
    sin
    -0.65
     Fug
    -0.64
     disguise
    -0.64
    ouf
    -0.63
     burg
    -0.62
     counterfe
    -0.62
     Fas
    -0.61
    POSITIVE LOGITS
     feedback
    1.11
     Feedback
    1.07
     testim
    1.03
     reactions
    0.91
     responses
    0.91
     congrat
    0.87
     THANK
    0.86
     applause
    0.85
     reviewers
    0.84
     thanking
    0.84
    Activations Density 0.486%

    No Known Activations