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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
    11. 15549
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    Explanations

    keywords related to lamps and lighting

    oai_token-act-pair · gpt-3.5-turbo

    references to lamps or lighting devices

    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
    088
    -0.74
    BLIC
    -0.71
    CHO
    -0.70
    ulate
    -0.70
    ESE
    -0.68
    JUST
    -0.67
    fortune
    -0.66
    059
    -0.64
    llah
    -0.64
    ÃįÃį
    -0.63
    POSITIVE LOGITS
     lamp
    1.12
     Lamp
    1.06
     lamps
    0.92
     bulb
    0.89
     lantern
    0.89
    reys
    0.88
    oons
    0.81
     bulbs
    0.77
    inated
    0.75
    rey
    0.73
    Activations Density 0.008%

    No Known Activations