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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. 10-RES-JB
    11. 12566
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    Explanations

    future events or plans stated in a document

    oai_token-act-pair · gpt-3.5-turbo

    words related to predictions or expectations regarding future events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    riched
    -0.63
     Cosponsors
    -0.61
     Recre
    -0.61
     offending
    -0.60
     stripe
    -0.59
    conservancy
    -0.59
     Ort
    -0.58
     prosecution
    -0.57
     distinguishes
    -0.56
     sidx
    -0.56
    POSITIVE LOGITS
     scheduled
    1.20
     slated
    1.05
     imminent
    1.04
     arrive
    1.02
    soon
    1.01
     tomorrow
    0.99
     released
    0.97
     deadlines
    0.95
     coming
    0.95
     finalized
    0.93
    Activations Density 0.355%

    No Known Activations