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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. 9-RES-JB
    11. 2709
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    Explanations

    prepositions followed by verbs

    oai_token-act-pair · gpt-3.5-turbo

    the beginning of sentences or segments in the text

    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
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    No Comments

    Negative Logits
     looms
    -0.69
     reckoned
    -0.63
     smack
    -0.62
    0000000000000000
    -0.61
     unanimously
    -0.61
    76561
    -0.61
     tirelessly
    -0.60
     mourn
    -0.60
     inspires
    -0.59
    izzle
    -0.58
    POSITIVE LOGITS
     addition
    1.32
     contrast
    1.21
    juries
    1.17
    herent
    1.17
    verted
    1.15
    expensive
    1.13
    ventory
    1.12
    complete
    1.10
    itialized
    1.10
    clusion
    1.07
    Activations Density 0.150%

    No Known Activations