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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. 2-RES-JB
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    Explanations

    mentions of glasses, specifically those worn on the face

    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 @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ILY
    -0.98
    Filename
    -0.79
    actionDate
    -0.76
    NOR
    -0.76
    itative
    -0.72
    Published
    -0.71
    heny
    -0.68
    avez
    -0.68
    Penn
    -0.67
    TAIN
    -0.65
    POSITIVE LOGITS
     glasses
    1.58
     goggles
    1.24
     sunglasses
    1.16
    lasses
    1.03
    creen
    0.96
    ocular
    0.94
     mustache
    0.91
    lace
    0.91
     Bottle
    0.86
    pan
    0.84
    Activations Density 0.013%

    No Known Activations