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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    references to vampires

    oai_token-act-pair · gpt-3.5-turbo

    references to vampires and related mythological creatures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •Vampire neurons

    No Comments

    Negative Logits
    qual
    -0.85
    onent
    -0.81
    ear
    -0.79
    essler
    -0.79
    alt
    -0.79
    Ķ
    -0.77
    atre
    -0.74
    rex
    -0.74
    PLA
    -0.73
    rontal
    -0.73
    POSITIVE LOGITS
     squid
    1.19
     vampires
    1.04
     vampire
    1.01
     Dracula
    0.94
     Frankenstein
    0.85
     Vampire
    0.84
     hunter
    0.82
     Masquerade
    0.82
    wolves
    0.81
     bats
    0.78
    Activations Density 0.009%

    No Known Activations