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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. 3-RES-JB
    11. 11441
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     seiz
    -0.65
    ploy
    -0.65
    heit
    -0.63
    rue
    -0.63
    cember
    -0.62
    ILY
    -0.62
    enegger
    -0.62
     Talent
    -0.62
    Justice
    -0.61
    llah
    -0.61
    POSITIVE LOGITS
    MSN
    0.69
     flats
    0.66
     flown
    0.66
    */(
    0.65
     printers
    0.65
    ongyang
    0.64
    software
    0.63
    oult
    0.63
    Temperature
    0.62
     simulate
    0.62
    Activations Density 1.524%

    No Known Activations