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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. 22309
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    Explanations

    references to physical destruction or devastation

    oai_token-act-pair · gpt-3.5-turbo

    references to destruction

    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
    ETF
    -0.76
    ramid
    -0.73
    ature
    -0.70
    annis
    -0.67
    quart
    -0.67
    aque
    -0.66
    enegger
    -0.65
    Scient
    -0.65
    Clar
    -0.65
    liner
    -0.64
    POSITIVE LOGITS
     havoc
    1.15
     destruction
    1.09
     annihilation
    0.91
     devastation
    0.90
     mayhem
    0.84
     wre
    0.83
    roying
    0.82
     derby
    0.80
     destro
    0.79
     destroys
    0.78
    Activations Density 0.008%

    No Known Activations