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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. 10-RES-JB
    11. 9235
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    Explanations

    contextual situations or conditions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that reference abstract concepts or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nutshell
    -0.72
     sling
    -0.68
     curfew
    -0.65
     Tau
    -0.59
     Pigs
    -0.57
     Changed
    -0.57
     Rap
    -0.57
     Curve
    -0.55
     Moose
    -0.55
     Doors
    -0.55
    POSITIVE LOGITS
     existed
    0.94
     exists
    0.89
     exist
    0.84
    thinkable
    0.80
    hip
    0.76
    stros
    0.75
    manship
    0.75
    SHIP
    0.74
    ships
    0.71
     would
    0.70
    Activations Density 0.144%

    No Known Activations