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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. 8-RES-JB
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    Explanations

    instances of the word "take" in a context suggesting an interpretation, opinion, or capture

    oai_token-act-pair · gpt-3.5-turbo

    expressions centered around the concept of "taking" or "catching" something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IZE
    -0.63
    eger
    -0.62
     istg
    -0.62
     Flame
    -0.61
    selves
    -0.60
     Known
    -0.60
     Majority
    -0.60
     Telesc
    -0.60
    aples
    -0.58
     Principles
    -0.57
    POSITIVE LOGITS
    away
    1.25
    aways
    1.15
    backs
    1.12
    over
    1.12
    down
    1.08
    back
    1.05
    overs
    1.05
    outs
    1.04
    out
    1.00
    ups
    0.99
    Activations Density 0.341%

    No Known Activations