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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. 9990
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    Explanations

    the phrase "make it"

    oai_token-act-pair · gpt-3.5-turbo

    phrases or contexts related to achieving success or reaching a destination

    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
    Topics
    -0.62
     Juda
    -0.58
    ors
    -0.58
     directions
    -0.56
    Topic
    -0.55
    Shares
    -0.54
     funer
    -0.53
     pockets
    -0.52
     warehouses
    -0.52
    Lot
    -0.52
    POSITIVE LOGITS
     happen
    0.91
     abundantly
    0.85
     onstage
    0.79
     worthwhile
    0.75
    cffffcc
    0.74
     onto
    0.74
     seem
    0.74
     clear
    0.73
     ashore
    0.73
    pec
    0.70
    Activations Density 0.034%

    No Known Activations