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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. 53
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    INDEX
    Explanations

    mentions of sporting events and matches

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to competitive sports events

    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
     Anon
    -0.71
    bara
    -0.69
    nesty
    -0.69
    SOURCE
    -0.69
    asking
    -0.68
    ickr
    -0.64
    SourceFile
    -0.61
    etsy
    -0.60
    lections
    -0.59
    umn
    -0.59
    POSITIVE LOGITS
     pitted
    1.31
     rematch
    1.25
     between
    1.21
     matchup
    1.20
     matchups
    1.11
     pits
    1.11
     showdown
    1.05
     rivalry
    1.00
     against
    0.98
     televised
    0.96
    Activations Density 0.367%

    No Known Activations