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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 6187
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    Explanations

    food items, specifically sandwiches

    oai_token-act-pair · gpt-3.5-turbo

    references to sandwiches

    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
    tics
    -0.90
    orne
    -0.76
    mberg
    -0.73
    SPONSORED
    -0.72
    ibr
    -0.67
    aft
    -0.67
    ignty
    -0.66
    umen
    -0.65
    oln
    -0.64
    axis
    -0.63
    POSITIVE LOGITS
     sandwiches
    1.12
    wich
    1.06
     sandwich
    1.05
    bowl
    0.92
     Sandwich
    0.88
     slices
    0.86
    eering
    0.85
     salads
    0.85
     tray
    0.81
     salad
    0.78
    Activations Density 0.021%

    No Known Activations