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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. 22294
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    Explanations

    verbs related to taking action or accomplishing tasks

    oai_token-act-pair · gpt-3.5-turbo

    expressions of capability or potential actions people can take

    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
    BuyableInstoreAndOnline
    -0.65
    Winged
    -0.64
    govtrack
    -0.64
     Deadline
    -0.60
     coincided
    -0.58
    eligible
    -0.58
    neum
    -0.57
    idelines
    -0.57
    Listener
    -0.56
    lights
    -0.55
    POSITIVE LOGITS
     cheaply
    1.16
     easily
    1.14
     safely
    1.13
     without
    1.03
     comfortably
    1.01
     better
    1.00
     reliably
    0.97
     confidently
    0.90
     efficiently
    0.90
     effortlessly
    0.89
    Activations Density 0.304%

    No Known Activations