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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. 1-RES-JB
    11. 11553
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    Explanations

    mentions of furniture, particularly tables

    oai_token-act-pair · gpt-3.5-turbo

    references to tables

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vernment
    -0.92
    Chance
    -0.72
    ancock
    -0.72
    trak
    -0.72
    igham
    -0.72
    espie
    -0.70
    PLIED
    -0.68
    obbies
    -0.68
    inventoryQuantity
    -0.66
    esp
    -0.65
    POSITIVE LOGITS
     table
    1.31
     tables
    1.18
    cloth
    1.16
    table
    1.12
     Tables
    0.88
     dinners
    0.87
     TABLE
    0.84
     Table
    0.80
    Table
    0.80
    tops
    0.78
    Activations Density 0.010%

    No Known Activations