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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. 12088
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    Explanations

    references to warehouses

    oai_token-act-pair · gpt-3.5-turbo

    mentions of warehouses

    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
    pend
    -0.65
    nir
    -0.65
    ppard
    -0.65
     Recomm
    -0.62
    odes
    -0.61
    bernatorial
    -0.60
    utan
    -0.60
     eminent
    -0.59
    uated
    -0.58
    cific
    -0.58
    POSITIVE LOGITS
     warehouse
    1.10
     warehouses
    1.02
    yard
    0.96
    housing
    0.85
     guiActiveUnfocused
    0.84
    eers
    0.83
     Warehouse
    0.82
     shelves
    0.80
     Depot
    0.77
    worker
    0.76
    Activations Density 0.010%

    No Known Activations