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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. 13743
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    Explanations

    words related to natural disasters, specifically floods

    oai_token-act-pair · gpt-3.5-turbo

    references to flooding events and related terminology

    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
    cius
    -0.73
    Ģ
    -0.70
     Lifetime
    -0.70
    ccording
    -0.66
    ooth
    -0.66
    ACP
    -0.65
     Assass
    -0.65
     revoked
    -0.63
    ournal
    -0.62
    atel
    -0.62
    POSITIVE LOGITS
    waters
    1.34
    plain
    1.09
    water
    0.94
    lighting
    0.92
    tro
    0.92
    lights
    0.90
     waters
    0.89
     plains
    0.88
    proof
    0.88
     Flood
    0.85
    Activations Density 0.051%

    No Known Activations