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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 16152
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    INDEX
    Explanations

    references to physical gates or barriers

    oai_token-act-pair · gpt-3.5-turbo

    references to gates

    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
    ortium
    -0.89
    enegger
    -0.77
     Hots
    -0.77
    lihood
    -0.68
    inho
    -0.67
    ocker
    -0.64
     Norm
    -0.60
    aceous
    -0.59
    ucket
    -0.59
     narrated
    -0.59
    POSITIVE LOGITS
    keepers
    1.30
    keeper
    1.25
     gates
    1.16
     gate
    1.16
    ways
    1.01
    stones
    1.01
    posts
    0.96
    holes
    0.93
    hole
    0.92
    house
    0.90
    Activations Density 0.005%

    No Known Activations