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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
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    Explanations

    weapons or references to weapons

    oai_token-act-pair · gpt-3.5-turbo

    references to weapons

    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
    noon
    -0.73
    fo
    -0.72
    sis
    -0.71
     Lank
    -0.70
    eff
    -0.69
     Beckham
    -0.67
     Salt
    -0.67
     Woodward
    -0.67
     Cow
    -0.66
    awk
    -0.66
    POSITIVE LOGITS
     weapon
    1.15
    weapon
    1.00
     weapons
    0.99
     salute
    0.91
     arsenal
    0.90
    powder
    0.87
     pistols
    0.84
    EStream
    0.83
    Weapons
    0.82
     wielded
    0.82
    Activations Density 0.012%

    No Known Activations