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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. 24535
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    Explanations

    terms related to technology and data processing

    oai_token-act-pair · gpt-3.5-turbo

    references to algorithms and technological processes

    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
     contrary
    -0.73
    paren
    -0.70
    inventoryQuantity
    -0.70
    AKING
    -0.69
    sorry
    -0.68
    esity
    -0.68
    DEN
    -0.66
     overshadowed
    -0.66
     contradicted
    -0.65
     underestimate
    -0.64
    POSITIVE LOGITS
     then
    1.36
     optionally
    1.17
    then
    1.12
     THEN
    1.05
     whichever
    1.04
     Then
    1.02
     assigns
    0.97
     upload
    0.97
     determines
    0.96
     sends
    0.95
    Activations Density 0.480%

    No Known Activations