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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. 1205
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    Explanations

    quotations at the end of sentences

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and attributions related to statements made by individuals

    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
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    Negative Logits
     underestimate
    -0.81
    ixel
    -0.81
     sideways
    -0.77
     setups
    -0.76
    iquid
    -0.75
     underestimated
    -0.75
     chemistry
    -0.73
     monop
    -0.73
     unpredict
    -0.71
     fascination
    -0.70
    POSITIVE LOGITS
    <|endoftext|>
    0.91
    Statement
    0.87
    Campaign
    0.84
     Additionally
    0.79
    ###
    0.78
     Copyright
    0.77
    ©
    0.76
    Shares
    0.75
    Refer
    0.75
    âĢİ
    0.75
    Activations Density 0.430%

    No Known Activations