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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. 2-RES-JB
    11. 12334
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    Explanations

    mentions of events or actions that happened at a later point in time

    oai_token-act-pair · gpt-3.5-turbo

    references to the passage of time, particularly events occurring later

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ble
    -0.73
    cking
    -0.69
     Goo
    -0.65
    EO
    -0.64
    ickle
    -0.63
    tick
    -0.63
    rod
    -0.62
     Flavoring
    -0.62
    Feel
    -0.62
    Pure
    -0.62
    POSITIVE LOGITS
     iterations
    0.90
    noon
    0.85
     mosqu
    0.83
     satell
    0.82
    aneously
    0.79
     versions
    0.75
     generations
    0.73
     succumbed
    0.71
    osta
    0.71
     succumb
    0.71
    Activations Density 0.029%

    No Known Activations