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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
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    Explanations

    dates written in the format "Aug dd"

    oai_token-act-pair · gpt-3.5-turbo

    dates

    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
    Not in Any Lists

    No Comments

    Negative Logits
    OGR
    -0.70
     bottleneck
    -0.68
    éĹĺ
    -0.65
     NIC
    -0.64
    hyde
    -0.63
     unfor
    -0.63
     charged
    -0.61
    merce
    -0.58
     amen
    -0.58
     DPRK
    -0.56
    POSITIVE LOGITS
    mented
    1.19
    mentation
    1.03
    Aug
    0.94
    enture
    0.91
     Aug
    0.90
    aret
    0.82
    burn
    0.82
    rue
    0.80
    iors
    0.79
    ital
    0.79
    Activations Density 0.006%

    No Known Activations