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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. 1-RES-JB
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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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ortium
    -0.81
    amus
    -0.70
    tif
    -0.68
    VK
    -0.66
     IDE
    -0.65
    pires
    -0.64
    amiya
    -0.62
    ITNESS
    -0.62
    OSP
    -0.61
    stretched
    -0.59
    POSITIVE LOGITS
     Goods
    0.81
    apesh
    0.73
    neau
    0.70
     Haitian
    0.67
    Kings
    0.66
    hower
    0.66
     Victim
    0.65
    incarn
    0.65
    EStream
    0.64
    machine
    0.63
    Activations Density 0.288%

    No Known Activations