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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. 9-RES-JB
    11. 15749
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    Explanations

    phrases related to collecting and analyzing data across various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to data sources and citations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    KK
    -0.78
    !/
    -0.76
    Synopsis
    -0.76
    ido
    -0.74
    iveness
    -0.73
    anooga
    -0.72
    tone
    -0.70
    äºĶ
    -0.70
    iquette
    -0.70
    ube
    -0.70
    POSITIVE LOGITS
     surveys
    0.95
     interviews
    0.91
     informants
    0.88
     Nielsen
    0.86
     census
    0.85
     archives
    0.84
     eyewitness
    0.83
    ©¶æ
    0.83
     Census
    0.81
     Survey
    0.78
    Activations Density 0.225%

    No Known Activations