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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. 7-RES-JB
    11. 2710
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    Explanations

    references to historical figures or events

    oai_token-act-pair · gpt-3.5-turbo

    references to historical figures and their significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Startup
    -0.84
     DATA
    -0.82
     DHS
    -0.81
     rollout
    -0.79
     DOJ
    -0.78
     Spotlight
    -0.77
     Accountability
    -0.77
    cipled
    -0.77
     CIS
    -0.76
    Dispatch
    -0.75
    POSITIVE LOGITS
     ceremonial
    1.14
     worsh
    1.06
     pilgrims
    1.05
     ancient
    1.00
     ancestor
    1.00
    Ancient
    0.99
     sacred
    0.98
     pagan
    0.98
     ceremon
    0.97
     priests
    0.97
    Activations Density 0.961%

    No Known Activations