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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 14365
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases or structures indicating possession or association

    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
    moil
    -0.64
    Brexit
    -0.64
    overs
    -0.62
    Kansas
    -0.62
    Baltimore
    -0.61
    BuyableInstoreAndOnline
    -0.61
    nos
    -0.61
    quiet
    -0.60
    ibus
    -0.60
    NL
    -0.59
    POSITIVE LOGITS
     each
    1.26
     your
    1.03
     whichever
    0.96
     those
    0.92
     the
    0.89
     any
    0.86
     these
    0.85
     every
    0.82
     course
    0.76
     whoever
    0.76
    Activations Density 0.309%

    No Known Activations