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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. 3-RES-JB
    11. 18568
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    Explanations

    keywords related to "hay" and "manure."

    oai_token-act-pair · gpt-3.5-turbo

    references to hay and manure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ongyang
    -0.77
    apse
    -0.73
    perture
    -0.73
    izations
    -0.72
    inyl
    -0.71
    essee
    -0.69
    ivity
    -0.67
     deterrence
    -0.66
    apsed
    -0.63
    phis
    -0.63
    POSITIVE LOGITS
     hay
    1.03
    stack
    0.93
    weed
    0.82
    wagon
    0.82
    leaf
    0.82
    lot
    0.81
     pasture
    0.79
    hurst
    0.79
    bridge
    0.79
    bags
    0.78
    Activations Density 0.011%

    No Known Activations