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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. 7-RES-JB
    11. 14115
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    Explanations

    prepositions followed by a noun

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "in"

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    76561
    -0.72
    âĿ
    -0.67
     robbers
    -0.62
    awei
    -0.61
     distur
    -0.61
     endors
    -0.61
    resh
    -0.59
     nailed
    -0.58
    WHERE
    -0.58
    enance
    -0.58
    POSITIVE LOGITS
     spite
    1.34
     accordance
    1.23
     addition
    1.20
     lieu
    1.18
     conjunction
    1.14
    cluding
    1.13
    clus
    1.12
    adequ
    1.07
    strument
    1.04
    sect
    1.03
    Activations Density 0.139%

    No Known Activations