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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. 1-RES-JB
    11. 13987
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    Explanations

    references to eyewear, specifically glasses

    oai_token-act-pair · gpt-3.5-turbo

    references to glasses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ILY
    -0.89
    NOR
    -0.81
    Filename
    -0.75
    TAIN
    -0.70
    Published
    -0.70
    than
    -0.67
    neg
    -0.67
    SIGN
    -0.67
    UA
    -0.65
     VID
    -0.65
    POSITIVE LOGITS
     glasses
    1.75
     sunglasses
    1.32
     goggles
    1.31
    lasses
    1.09
    ocular
    1.04
     ey
    1.03
    creen
    0.96
     mustache
    0.92
     Bottle
    0.87
    glass
    0.85
    Activations Density 0.015%

    No Known Activations