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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. 11-RES-JB
    11. 6037
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    Explanations

    descriptions of buildings and rooms

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of building structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etimes
    -0.91
    friends
    -0.91
    rencies
    -0.88
    votes
    -0.81
    agonists
    -0.81
    idays
    -0.78
    rosso
    -0.75
     Calls
    -0.74
    poons
    -0.74
    orders
    -0.73
    POSITIVE LOGITS
     rectangular
    1.29
     cyl
    1.16
     hangar
    1.13
     rectangle
    1.12
     mansion
    1.12
     wooden
    1.12
     limestone
    1.11
     brick
    1.11
     concrete
    1.07
     marble
    1.05
    Activations Density 0.261%

    No Known Activations