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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. 6-RES-JB
    11. 15365
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    Explanations

    phrases related to winning or defending titles or championships

    oai_token-act-pair · gpt-3.5-turbo

    references to championship titles in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Spicer
    -0.72
    oidal
    -0.71
     Lindsey
    -0.67
    appa
    -0.66
     Spice
    -0.66
    UGE
    -0.65
    ratom
    -0.64
     Stef
    -0.64
    ajor
    -0.63
    PN
    -0.63
    POSITIVE LOGITS
    holder
    0.95
     contender
    0.93
    marks
    0.88
     holder
    0.83
    manship
    0.83
    holders
    0.82
    title
    0.82
     titles
    0.81
     challengers
    0.81
     unification
    0.80
    Activations Density 0.016%

    No Known Activations