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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. 2-RES-JB
    11. 1936
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    Explanations

    mentions of weather phenomena, especially hail and thunder

    oai_token-act-pair · gpt-3.5-turbo

    references to hail and thunderstorms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uyomi
    -0.94
    option
    -0.82
    lymp
    -0.75
    igm
    -0.73
    ea
    -0.73
    sem
    -0.72
    ovo
    -0.72
    aqu
    -0.71
    argo
    -0.70
    binary
    -0.70
    POSITIVE LOGITS
     hail
    1.16
     Hail
    0.88
     storms
    0.84
    storms
    0.79
    storm
    0.76
     flooding
    0.76
     clouds
    0.75
    ings
    0.75
     thunder
    0.71
     turbines
    0.70
    Activations Density 0.005%

    No Known Activations