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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. 8-RES-JB
    11. 16797
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    words related to emotions or descriptors that indicate intensity or significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    NetMessage
    -0.59
     digs
    -0.55
    lder
    -0.54
     Lei
    -0.54
     bluff
    -0.53
     delaying
    -0.53
    feet
    -0.52
    ¥µ
    -0.52
     staging
    -0.51
    spin
    -0.51
    POSITIVE LOGITS
    IJ
    0.72
    onds
    0.67
    abeth
    0.63
    ascript
    0.62
    cia
    0.61
    ée
    0.61
    lesi
    0.61
    ãĤ·ãĥ£
    0.60
    ium
    0.60
    iform
    0.59
    Activations Density 0.100%

    No Known Activations