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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
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    Explanations

    references to the Vietnam War

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Vietnam War or related references

    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
    */(
    -1.11
    essional
    -0.80
    rencies
    -0.75
    lev
    -0.73
    heet
    -0.71
    idges
    -0.71
    Madison
    -0.69
    tical
    -0.68
    tered
    -0.68
    imov
    -0.66
    POSITIVE LOGITS
     Nguyen
    1.13
     vet
    0.83
     Vietnam
    0.83
     Veterans
    0.81
    oleon
    0.81
     vets
    0.80
     War
    0.79
    ogue
    0.79
     Vietnamese
    0.77
     Nam
    0.77
    Activations Density 0.014%

    No Known Activations