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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. 11146
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    Explanations

    direct speech within quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    quoted dialogue or speech within the text

    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
     popul
    -0.77
     casc
    -0.76
     encl
    -0.75
     subsidies
    -0.72
     mosa
    -0.69
     erosion
    -0.68
     termin
    -0.68
     privat
    -0.67
     surge
    -0.66
     subsid
    -0.66
    POSITIVE LOGITS
    Yeah
    1.36
    Obviously
    1.28
    Honestly
    1.20
    Coach
    1.20
    Everybody
    1.19
    Absolutely
    1.13
    Very
    1.08
    Certainly
    1.07
    Everyone
    1.06
    Yes
    1.05
    Activations Density 0.093%

    No Known Activations