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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. 4938
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    INDEX
    Explanations

    mentions of the word "grape"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to grapes and their various contexts

    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
    ging
    -0.96
    alion
    -0.92
    gers
    -0.88
    anooga
    -0.88
    gewater
    -0.87
    ural
    -0.86
    wo
    -0.86
    efeated
    -0.85
    rawn
    -0.84
    rador
    -0.84
    POSITIVE LOGITS
    vine
    0.89
     crops
    0.80
     vines
    0.72
     citation
    0.71
    fruit
    0.70
     crop
    0.70
     Blades
    0.67
     ILCS
    0.66
     hops
    0.66
    OURCE
    0.65
    Activations Density 0.051%

    No Known Activations