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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. 4-RES-JB
    11. 12150
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    Explanations

    words related to disfavor or negativity

    oai_token-act-pair · gpt-3.5-turbo

    terms related to taste and quality descriptors

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

    Negative Logits
    ©¶æ¥µ
    -0.71
    ©¶æ
    -0.69
     epid
    -0.65
    monds
    -0.63
     schizophren
    -0.62
    ħĭ
    -0.62
     crawl
    -0.60
     Zucker
    -0.59
     ejac
    -0.58
    mers
    -0.58
    POSITIVE LOGITS
    itism
    1.21
    naire
    1.01
    ite
    1.00
    ited
    0.98
    avour
    0.93
    ably
    0.90
    itive
    0.89
    ables
    0.89
    eous
    0.88
    acio
    0.87
    Activations Density 0.014%

    No Known Activations