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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. 9-RES-JB
    11. 14144
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    Explanations

    time-related events mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    references to timing or sequence of events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     experimented
    -0.67
     Experiment
    -0.65
    wered
    -0.59
     sacrific
    -0.59
     ingested
    -0.58
     Chosen
    -0.57
     assimil
    -0.57
    existent
    -0.56
    cients
    -0.55
     preached
    -0.55
    POSITIVE LOGITS
     amid
    0.81
    BUS
    0.77
    BAT
    0.76
     months
    0.74
     anniversary
    0.70
    Days
    0.69
    lehem
    0.69
     weeks
    0.68
    TIME
    0.68
     wake
    0.68
    Activations Density 0.137%

    No Known Activations