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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. 5463
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    Explanations

    phrases related to specific points in time

    oai_token-act-pair · gpt-3.5-turbo

    references to specific temporal contexts

    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
     corrid
    -0.63
    aq
    -0.61
     Simulator
    -0.59
    hent
    -0.56
    ops
    -0.56
    irm
    -0.54
    ena
    -0.52
    unit
    -0.52
    endon
    -0.52
    Redditor
    -0.51
    POSITIVE LOGITS
     when
    1.40
    when
    1.23
     WHEN
    1.11
     whenever
    0.77
    SPONSORED
    0.77
     wherein
    0.75
     where
    0.74
     before
    0.70
    When
    0.69
     When
    0.69
    Activations Density 0.098%

    No Known Activations