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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. 6-RES-JB
    6. 14957
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    INDEX
    Explanations

    descriptions of various physical structures and their characteristics

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of materials and their properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idays
    -0.72
    Asset
    -0.70
    Politics
    -0.70
    funding
    -0.66
     Accountability
    -0.65
    Liberal
    -0.64
    EStream
    -0.64
    Policy
    -0.63
    aughs
    -0.63
    Nation
    -0.62
    POSITIVE LOGITS
     protr
    1.33
     elong
    1.15
     translucent
    1.12
     triangular
    1.12
     rectangular
    1.11
     cyl
    1.11
     curved
    1.10
     diameter
    1.10
     diagonal
    0.99
     geometric
    0.99
    Activations Density 1.044%

    No Known Activations