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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. 6-RES-JB
    11. 8534
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    Explanations

    references to destruction or acts of destruction

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to destruction and its effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pull
    -0.79
    oft
    -0.77
    tips
    -0.73
    eret
    -0.68
    akeru
    -0.67
    soDeliveryDate
    -0.67
    Ask
    -0.66
     easing
    -0.66
    orney
    -0.66
    oult
    -0.66
    POSITIVE LOGITS
     entire
    0.87
     monuments
    0.79
     havoc
    0.78
     carc
    0.78
     habitat
    0.77
     Colossus
    0.77
     inciner
    0.75
     barriers
    0.75
     Leviathan
    0.75
     habitats
    0.74
    Activations Density 0.292%

    No Known Activations