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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. 11-RES-JB
    11. 1600
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    INDEX
    Explanations

    phrases related to historical events and memory loss

    oai_token-act-pair · gpt-3.5-turbo

    references to historical events or periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lees
    -0.74
    raid
    -0.67
    tails
    -0.62
     bandwagon
    -0.62
     gigs
    -0.61
     juices
    -0.60
    spot
    -0.59
     discounts
    -0.59
     Cosponsors
    -0.59
    nell
    -0.59
    POSITIVE LOGITS
     humankind
    1.41
     history
    1.41
     mankind
    1.38
     humanity
    1.31
    history
    1.29
     human
    1.27
     civilisation
    1.26
     civilization
    1.19
     Mankind
    1.19
     antiquity
    1.19
    Activations Density 0.238%

    No Known Activations