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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. 18
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    Explanations

    words related to flooding or overflow of water

    oai_token-act-pair · gpt-3.5-turbo

    references to flooding events

    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
    nesota
    -0.78
    atem
    -0.78
    ccording
    -0.77
    ando
    -0.76
    axter
    -0.74
    cius
    -0.72
    Downloadha
    -0.68
    eff
    -0.67
    doms
    -0.67
    tten
    -0.66
    POSITIVE LOGITS
     Flood
    1.10
     flood
    1.06
    waters
    1.05
     flooding
    0.98
     dams
    0.94
     inund
    0.92
     floods
    0.91
     Katrina
    0.89
    lighting
    0.87
     leve
    0.86
    Activations Density 0.010%

    No Known Activations