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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. 14938
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    Explanations

    instructions or announcements related to drop-off and pick-up locations and times

    oai_token-act-pair · gpt-3.5-turbo

    instructions related to event logistics

    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
    inventoryQuantity
    -0.68
    isky
    -0.67
    warts
    -0.67
     lately
    -0.65
    uably
    -0.64
    abulary
    -0.64
     overth
    -0.64
    schild
    -0.63
    edi
    -0.62
    weak
    -0.62
    POSITIVE LOGITS
     discretion
    0.84
     Mondays
    0.81
     receipt
    0.80
     whichever
    0.79
     accordance
    0.77
     respective
    0.75
     TBA
    0.73
     www
    0.73
     TBD
    0.73
    Tickets
    0.73
    Activations Density 0.414%

    No Known Activations