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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
    11. 5169
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    Explanations

    references to helmets

    oai_token-act-pair · gpt-3.5-turbo

    references to helmets

    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
    ween
    -0.69
    tery
    -0.68
    VD
    -0.68
    quart
    -0.68
    atoes
    -0.67
    uality
    -0.67
    agents
    -0.67
     Roosevelt
    -0.66
    hower
    -0.66
    aceae
    -0.66
    POSITIVE LOGITS
     helmets
    1.08
     helmet
    1.04
     worn
    1.02
     goggles
    0.88
     wearer
    0.87
     Helmet
    0.84
     equipped
    0.80
     adorned
    0.79
     mask
    0.76
     masks
    0.75
    Activations Density 0.024%

    No Known Activations