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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. 6-RES-JB
    11. 13549
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    Explanations

    words related to furniture, specifically 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 @ 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
     Adin
    -0.84
    Interstitial
    -0.83
    Ô
    -0.82
    actionDate
    -0.80
    6666
    -0.71
    ICAN
    -0.71
    FFFF
    -0.67
     Cannes
    -0.66
    ICO
    -0.65
     EF
    -0.65
    POSITIVE LOGITS
    tops
    1.79
     drawer
    1.20
    top
    1.07
     desk
    0.94
     Desk
    0.92
    chair
    0.86
    pointer
    0.84
     desks
    0.79
    lift
    0.78
    cle
    0.77
    Activations Density 0.015%

    No Known Activations