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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. 11079
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    INDEX
    Explanations

    dates and times mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to temporal details such as dates and times

    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
    Benz
    -0.71
    STATE
    -0.70
    District
    -0.68
    Lens
    -0.65
    ALD
    -0.65
    alus
    -0.64
    ãĥīãĥ©
    -0.64
    Series
    -0.64
    thia
    -0.63
    EY
    -0.63
    POSITIVE LOGITS
     varies
    0.93
     exceeded
    0.89
     Ong
    0.82
     exceeds
    0.80
     varied
    0.77
     estimation
    0.75
     ranged
    0.75
     TBD
    0.72
     vary
    0.70
     specified
    0.70
    Activations Density 0.231%

    No Known Activations