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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. 10-RES-JB
    11. 5165
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    Explanations

    verbs related to powerful or destructive actions

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to the act of releasing or emitting significant quantities of energy or substances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.79
     ..........
    -0.74
    osuke
    -0.70
    assian
    -0.67
    ador
    -0.64
    abet
    -0.64
    bm
    -0.63
    inet
    -0.63
    emate
    -0.62
    require
    -0.62
    POSITIVE LOGITS
     spores
    1.10
     forth
    1.08
     fumes
    1.07
     toxins
    1.00
     venom
    0.97
     projectiles
    0.97
     havoc
    0.97
     poisonous
    0.91
     fireworks
    0.90
     bursts
    0.89
    Activations Density 0.129%

    No Known Activations