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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. 4-RES-JB
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    Explanations

    specific mentions of titles or championship victories

    oai_token-act-pair · gpt-3.5-turbo

    references to competitive titles or championships in various sports

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

    No Comments

    Negative Logits
    pmwiki
    -0.71
    iasco
    -0.67
    ratom
    -0.65
    gm
    -0.65
    appa
    -0.63
    ths
    -0.63
    sbm
    -0.62
     Tik
    -0.61
    akespeare
    -0.60
    omorphic
    -0.59
    POSITIVE LOGITS
    marks
    0.89
     titles
    0.86
     title
    0.84
     contender
    0.84
    title
    0.83
     challengers
    0.80
     holder
    0.80
    manship
    0.80
    holder
    0.79
     challenger
    0.76
    Activations Density 0.012%

    No Known Activations