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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. 11101
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    Explanations

    mentions of objects made of cardboard

    oai_token-act-pair · gpt-3.5-turbo

    references to cardboard items or constructs

    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
    alez
    -0.70
    ivari
    -0.66
     Lear
    -0.64
    ppard
    -0.62
    nings
    -0.61
    pour
    -0.61
    usc
    -0.61
    oren
    -0.61
    aired
    -0.60
    ibel
    -0.60
    POSITIVE LOGITS
     cardboard
    1.24
     boxes
    1.05
     box
    0.88
     BOX
    0.88
     coffin
    0.84
     wrapper
    0.83
    ©¶æ¥µ
    0.82
    erton
    0.81
     wra
    0.79
     sleeves
    0.78
    Activations Density 0.008%

    No Known Activations