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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. 16297
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    Explanations

    references to CDs and DVDs

    oai_token-act-pair · gpt-3.5-turbo

    mentions of CDs and DVDs

    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
    olulu
    -0.69
    bite
    -0.66
    Downloadha
    -0.66
    nel
    -0.65
    perse
    -0.65
     Samoa
    -0.64
     Aires
    -0.64
    apolis
    -0.63
    zzle
    -0.63
    chers
    -0.62
    POSITIVE LOGITS
    ROM
    1.07
    ouble
    1.03
    erning
    1.00
    NF
    0.98
    NR
    0.96
    DL
    0.93
    MA
    0.93
    IU
    0.90
    VD
    0.90
    MX
    0.90
    Activations Density 0.029%

    No Known Activations