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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. 4-RES-JB
    11. 6048
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    Explanations

    phrases related to taking proactive steps or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to taking action or measures in various contexts

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

    No Comments

    Negative Logits
     Hitch
    -0.79
     Birch
    -0.71
    owed
    -0.70
    iciency
    -0.67
    ovy
    -0.65
    iche
    -0.64
    oeuv
    -0.63
    oked
    -0.63
     Phant
    -0.63
     Loaded
    -0.62
    POSITIVE LOGITS
     stride
    0.75
    kef
    0.75
    DragonMagazine
    0.71
     corrective
    0.69
     Replay
    0.69
     remed
    0.67
     steps
    0.67
    IJ
    0.65
     proactive
    0.65
     precautions
    0.64
    Activations Density 0.037%

    No Known Activations