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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. 0-RES-JB
    11. 16610
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    Explanations

    mentions of action related to getting dressed

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of 'dressing' within various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uci
    -0.81
    GH
    -0.72
    ishable
    -0.70
    ï¸ı
    -0.70
    tions
    -0.68
    GC
    -0.66
    unt
    -0.65
    Liter
    -0.65
     Zimbabwe
    -0.63
    BTC
    -0.62
    POSITIVE LOGITS
     dressing
    3.96
     locker
    1.22
     stuffing
    1.08
     ranch
    1.06
     dipping
    1.06
     topp
    1.05
     dress
    1.04
     simmer
    1.03
     batter
    1.02
     topping
    1.01
    Activations Density 0.023%

    No Known Activations