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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. 10-RES-JB
    6. 1085
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    INDEX
    Explanations

    phrases related to actions involving giving or providing things to others

    oai_token-act-pair · gpt-3.5-turbo

    references to personal relationships and interactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gra
    -0.75
    quickShipAvailable
    -0.75
    inventoryQuantity
    -0.71
    linger
    -0.67
    venants
    -0.66
    fecture
    -0.66
    Enlarge
    -0.66
    ingly
    -0.66
    dm
    -0.65
    sis
    -0.65
    POSITIVE LOGITS
     permission
    0.93
     tickets
    0.92
     something
    0.92
     anything
    0.88
     flowers
    0.88
     money
    0.87
     pointers
    0.84
     copies
    0.82
     congratulations
    0.81
     a
    0.81
    Activations Density 0.151%

    No Known Activations