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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. 7-RES-JB
    11. 24151
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    Explanations

    proper nouns related to news events and political discussions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various groups or individuals, likely in the context of societal or political discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    washer
    -0.77
    endo
    -0.71
    ity
    -0.71
    rid
    -0.70
    earable
    -0.69
    eur
    -0.68
    ibal
    -0.67
    ORD
    -0.66
    rf
    -0.66
    rup
    -0.65
    POSITIVE LOGITS
    who
    1.19
    doms
    1.17
     whom
    1.09
     who
    1.08
     including
    1.07
     rejoice
    1.04
     namely
    0.95
     spouses
    0.91
     alike
    0.90
     includ
    0.86
    Activations Density 0.362%

    No Known Activations