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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
    11. 16294
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    Explanations

    large-scale disasters related to man-made incidents

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to violent events and disasters

    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
    requisite
    -0.78
    ailable
    -0.75
    External
    -0.72
    asive
    -0.71
    asonable
    -0.70
    cedented
    -0.69
    AUT
    -0.69
    worldly
    -0.67
    blance
    -0.67
    atin
    -0.67
    POSITIVE LOGITS
     debacle
    0.83
     fiasco
    0.74
     anniversary
    0.73
     ravaged
    0.71
     bombings
    0.69
     Andromeda
    0.69
     looms
    0.68
     Flickr
    0.68
     massacre
    0.68
     era
    0.67
    Activations Density 0.255%

    No Known Activations