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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. 0-RES-JB
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    Explanations

    mentions of the word "Veterans"

    oai_token-act-pair · gpt-3.5-turbo

    references to veterans

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nib
    -0.74
    åº
    -0.72
     pert
    -0.69
     knock
    -0.68
     binding
    -0.68
     coefficients
    -0.66
     senses
    -0.66
     teasing
    -0.65
    ree
    -0.64
     bund
    -0.64
    POSITIVE LOGITS
     Veterans
    3.94
     Veteran
    2.47
    Veter
    2.17
     veterans
    1.81
     VA
    1.59
     vets
    1.41
     Memorial
    1.34
     Soldiers
    1.33
     Remem
    1.21
     Vet
    1.16
    Activations Density 0.010%

    No Known Activations