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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
    11. 19898
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    Explanations

    references to sports conferences, particularly those specifying a team's rank or performance within a conference

    oai_token-act-pair · gpt-3.5-turbo

    references to sports conferences

    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
    terday
    -0.83
    ¿½
    -0.82
    zl
    -0.77
    obj
    -0.77
    etsk
    -0.75
    ku
    -0.75
    aft
    -0.75
    lett
    -0.75
    spell
    -0.74
    azer
    -0.71
    POSITIVE LOGITS
     Finals
    1.12
     standings
    1.08
     Championships
    0.95
     Conference
    0.89
     Playoff
    0.87
     playoffs
    0.86
     championships
    0.86
     Playoffs
    0.86
     Championship
    0.85
     League
    0.81
    Activations Density 0.017%

    No Known Activations