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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. 10174
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    INDEX
    Explanations

    specific mention of written content like emails, reports, opinions, pieces, and letters

    oai_token-act-pair · gpt-3.5-turbo

    references to emails and written communications

    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
    atorium
    -0.84
    arium
    -0.72
     idols
    -0.71
    angular
    -0.71
    oka
    -0.71
    sale
    -0.69
     chimpanzees
    -0.68
    AMI
    -0.67
     unbeliev
    -0.66
    earances
    -0.66
    POSITIVE LOGITS
     diary
    0.82
     journal
    0.81
     Suff
    0.80
    mail
    0.79
     Slate
    0.78
     summar
    0.73
     blog
    0.73
     paper
    0.71
     Ars
    0.71
     Stro
    0.70
    Activations Density 0.107%

    No Known Activations