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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. 1-RES-JB
    11. 23121
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    Explanations

    mentions of physical destruction or devastation, often represented by words like "ruins" and "rubble."

    oai_token-act-pair · gpt-3.5-turbo

    references to destruction or decay, particularly in the context of physical structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.77
    ivities
    -0.77
    icipated
    -0.75
    cers
    -0.74
    Population
    -0.69
    rolog
    -0.69
    Choice
    -0.66
    POL
    -0.64
    cer
    -0.64
    isher
    -0.63
    POSITIVE LOGITS
     ruins
    1.04
     rubble
    1.01
    ppelin
    0.74
     Afgh
    0.73
    oft
    0.71
     backdrop
    0.70
     crater
    0.68
    querque
    0.67
    ĸļ
    0.67
     crumble
    0.66
    Activations Density 0.012%

    No Known Activations