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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. 3-RES-JB
    11. 5887
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    Explanations

    mentions of specific time periods and events within a text

    oai_token-act-pair · gpt-3.5-turbo

    the word "During" to indicate the timing of events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NRS
    -0.74
    optional
    -0.73
    adr
    -0.66
    ould
    -0.65
    powder
    -0.65
    tools
    -0.65
    utenberg
    -0.64
    ettle
    -0.64
    straight
    -0.63
    cca
    -0.60
    POSITIVE LOGITS
    itialized
    0.93
    ventory
    0.71
    quickShipAvailable
    0.70
     periods
    0.70
     emergencies
    0.67
     times
    0.67
     veter
    0.67
     inspecting
    0.65
    ership
    0.65
     evaluating
    0.64
    Activations Density 0.020%

    No Known Activations