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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. 13416
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    Explanations

    references to time or historical context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of temporal references or periods denoted by the word "times"

    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
    aceous
    -0.70
    iary
    -0.67
    atto
    -0.66
     UCH
    -0.64
    Ô
    -0.64
    RD
    -0.62
    estead
    -0.60
     Pett
    -0.60
    ramid
    -0.60
    ged
    -0.60
    POSITIVE LOGITS
    cale
    1.60
    cape
    1.16
    hare
    1.15
    eries
    1.12
    pring
    1.06
    pan
    1.01
    hower
    0.95
    mith
    0.90
    lot
    0.88
    heet
    0.87
    Activations Density 0.037%

    No Known Activations