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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. 8772
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    Explanations

    timestamps in the format of time zones

    oai_token-act-pair · gpt-3.5-turbo

    references to local time and time zones

    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
     lineback
    -0.84
    adier
    -0.73
     affordability
    -0.69
     incorpor
    -0.68
     committees
    -0.65
     Flavoring
    -0.64
    committee
    -0.64
     enrich
    -0.63
    ventory
    -0.63
    infeld
    -0.62
    POSITIVE LOGITS
     GMT
    1.16
    GMT
    1.14
     EDT
    1.12
     PDT
    1.08
     EST
    1.06
     Daylight
    1.05
     CET
    1.04
     BST
    0.96
     CST
    0.95
     PST
    0.95
    Activations Density 0.110%

    No Known Activations