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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. 5894
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    INDEX
    Explanations

    references to controversial or negative events or statements, often related to news or social media

    oai_token-act-pair · gpt-3.5-turbo

    texts related to media and its repercussions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    electric
    -0.84
     envis
    -0.83
     dreaming
    -0.80
    akin
    -0.77
     guiIcon
    -0.77
    population
    -0.76
     envision
    -0.76
     electr
    -0.76
    unin
    -0.74
    rentices
    -0.74
    POSITIVE LOGITS
     Gawker
    1.42
     apologized
    1.25
     Reddit
    1.19
     GamerGate
    1.19
     retweet
    1.18
     Gamergate
    1.16
     commenters
    1.15
     screenshots
    1.15
     Twitter
    1.15
     moderators
    1.14
    Activations Density 1.004%

    No Known Activations