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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
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    Explanations

    keywords related to locations or settings, particularly those involving lounges

    oai_token-act-pair · gpt-3.5-turbo

    references to lounges and similar types of seating or gathering spaces

    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
    displayText
    -0.72
    eded
    -0.71
    Operation
    -0.65
    UGC
    -0.65
    GV
    -0.65
    inventoryQuantity
    -0.64
    DEC
    -0.64
     Uz
    -0.63
     redistributed
    -0.63
    rity
    -0.63
    POSITIVE LOGITS
     lounge
    1.47
     Lounge
    1.23
    ounge
    1.12
    creen
    0.93
     lou
    0.93
     chairs
    0.88
    stairs
    0.82
    halla
    0.77
     downstairs
    0.74
     waiter
    0.74
    Activations Density 0.004%

    No Known Activations