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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. 9-RES-JB
    11. 5267
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    Explanations

    references to events or activities happening or related to a specific time period like 'after the war'

    oai_token-act-pair · gpt-3.5-turbo

    references to conflicts and significant events in history

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pse
    -0.67
    BuyableInstoreAndOnline
    -0.65
    oco
    -0.64
    andise
    -0.62
    ãĥ³ãĤ¸
    -0.62
    ARA
    -0.60
     millenn
    -0.57
    ãģı
    -0.57
     Facilities
    -0.56
    ãĥĩãĤ£
    -0.56
    POSITIVE LOGITS
     expires
    0.99
     completes
    0.94
     ended
    0.93
     began
    0.88
     concludes
    0.84
     arrives
    0.84
     ceases
    0.84
     concluded
    0.82
     finishes
    0.82
     collapses
    0.81
    Activations Density 0.321%

    No Known Activations