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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. 8-RES-JB
    11. 11120
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    Explanations

    information related to sporting events and championships

    oai_token-act-pair · gpt-3.5-turbo

    references to significant sports events and their outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FBI
    -0.81
    soType
    -0.76
    APD
    -0.74
    OTUS
    -0.68
     Pastebin
    -0.68
    phabet
    -0.67
    umblr
    -0.67
    ERAL
    -0.67
    Panel
    -0.66
    Ord
    -0.66
    POSITIVE LOGITS
     undefeated
    0.82
     championships
    0.81
     championship
    0.79
     qualifier
    0.77
     unbeaten
    0.75
     Championships
    0.74
     vacated
    0.74
     stacked
    0.72
     qualification
    0.72
     qualifiers
    0.72
    Activations Density 0.438%

    No Known Activations