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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. 11-RES-JB
    11. 13661
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    Explanations

    specific times expressed in different time zones

    oai_token-act-pair · gpt-3.5-turbo

    time zones and specific times related to events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     resemb
    -0.70
    cept
    -0.67
     jaws
    -0.64
     detrim
    -0.63
    ffield
    -0.62
     unexpl
    -0.60
     resemblance
    -0.59
     acknow
    -0.59
    egu
    -0.58
    tons
    -0.58
    POSITIVE LOGITS
     (+
    0.92
     Coverage
    0.86
    /$
    0.85
     (-
    0.84
    +
    0.83
    EMBER
    0.82
     EDT
    0.78
    /+
    0.78
    aturday
    0.77
    +,
    0.74
    Activations Density 0.055%

    No Known Activations