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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. 3-RES-JB
    11. 5605
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    Explanations

    words related to furniture, particularly desks

    oai_token-act-pair · gpt-3.5-turbo

    references to desks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ô
    -0.81
     Adin
    -0.77
    6666
    -0.74
    ICO
    -0.68
    ETH
    -0.68
    66666666
    -0.67
    Interstitial
    -0.67
    Flight
    -0.66
     ESC
    -0.65
    UCK
    -0.64
    POSITIVE LOGITS
    tops
    1.72
     drawer
    1.19
     desk
    1.06
     Desk
    1.04
    top
    0.89
     desks
    0.89
     overflow
    0.85
    chair
    0.85
    Desk
    0.85
     chair
    0.80
    Activations Density 0.009%

    No Known Activations