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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. 4-RES-JB
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    Explanations

    examples of the word "killer"

    oai_token-act-pair · gpt-3.5-turbo

    references to "killer whales" and their contexts

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

    No Comments

    Negative Logits
    ional
    -0.86
    bles
    -0.84
    ational
    -0.81
    resh
    -0.81
    ourced
    -0.80
    OVER
    -0.78
    heny
    -0.78
    yrinth
    -0.77
    orb
    -0.77
    rity
    -0.77
    POSITIVE LOGITS
     killer
    0.99
    killer
    0.95
     whales
    0.93
     killers
    0.86
     Killer
    0.83
     whale
    0.82
     instinct
    0.80
    knife
    0.79
     spree
    0.78
    fish
    0.70
    Activations Density 0.018%

    No Known Activations