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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. 8-RES-JB
    11. 12816
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    Explanations

    words related to weaponry and military equipment

    oai_token-act-pair · gpt-3.5-turbo

    references to weapons and weaponization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gres
    -0.79
     Strawberry
    -0.74
    lus
    -0.74
    cess
    -0.72
    ional
    -0.70
    dit
    -0.70
    atta
    -0.66
    forth
    -0.66
    ions
    -0.65
     Manz
    -0.64
    POSITIVE LOGITS
    powder
    1.07
     arsenal
    0.89
     wielded
    0.86
     weapons
    0.85
     caches
    0.84
     manufacturer
    0.82
     salute
    0.79
    usable
    0.79
    kit
    0.78
     weapon
    0.77
    Activations Density 0.032%

    No Known Activations