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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. 8-RES-JB
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    Explanations

    mentions of the term "Veterans" and related contexts, such as Veterans Affairs and services for veterans

    oai_token-act-pair · gpt-3.5-turbo

    references to veterans and related organizations or programs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wise
    -0.75
    Sty
    -0.74
    mons
    -0.72
    iang
    -0.71
    eton
    -0.71
    htar
    -0.68
    mosp
    -0.68
    Oracle
    -0.67
    worm
    -0.67
    worms
    -0.66
    POSITIVE LOGITS
     Veterans
    0.92
     Affairs
    0.91
     veterans
    0.77
     Benefits
    0.76
     PTSD
    0.74
     vets
    0.73
     Veteran
    0.72
    umatic
    0.71
     grievances
    0.71
     Disability
    0.71
    Activations Density 0.036%

    No Known Activations