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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. 3-RES-JB
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    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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Organic
    -0.74
     Strawberry
    -0.74
    fo
    -0.69
    gres
    -0.69
    noon
    -0.69
    eff
    -0.69
     Cow
    -0.69
    lus
    -0.67
    dit
    -0.67
    forth
    -0.66
    POSITIVE LOGITS
     weapon
    0.93
    powder
    0.91
     salute
    0.87
     weapons
    0.87
     manufacturer
    0.79
     pistols
    0.78
     arsenal
    0.78
    izes
    0.77
     wielded
    0.75
     blades
    0.74
    Activations Density 0.017%

    No Known Activations