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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. 5-RES-JB
    6. 5624
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    INDEX
    Explanations

    phrases or words related to basic concepts or principles

    oai_token-act-pair · gpt-3.5-turbo

    references to fundamental concepts or necessities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    romeda
    -0.79
    igham
    -0.74
    oping
    -0.73
    ibal
    -0.70
     Tycoon
    -0.70
    isSpecialOrderable
    -0.67
    encer
    -0.67
     Rodrigo
    -0.66
     prow
    -0.65
    estern
    -0.64
    POSITIVE LOGITS
     necessities
    1.10
     tenets
    1.04
    basic
    0.98
     arithmetic
    0.92
    lly
    0.89
     principles
    0.88
     premise
    0.81
    gradient
    0.80
     outline
    0.79
    essential
    0.78
    Activations Density 0.022%

    No Known Activations