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

    mentions of the character "Doctor" from the TV show Doctor Who

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the character "Doctor" from the "Doctor Who" series

    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
    Not in Any Lists

    No Comments

    Negative Logits
     actionGroup
    -0.86
    perm
    -0.68
     dispersed
    -0.67
     nerve
    -0.66
     envelope
    -0.66
     chorus
    -0.64
    ickr
    -0.64
     temp
    -0.63
     behalf
    -0.63
     rout
    -0.63
    POSITIVE LOGITS
     Doctor
    1.05
    iatus
    0.88
    Doctor
    0.87
     Who
    0.87
    sonian
    0.86
    ysis
    0.82
    abase
    0.81
     Universe
    0.78
    ologist
    0.76
     Strange
    0.76
    Activations Density 0.008%

    No Known Activations