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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 8611
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    Explanations

    phrases related to establishing a foundation or groundwork

    oai_token-act-pair · gpt-3.5-turbo

    phrases associated with laying foundations or groundwork for concepts and ideas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quickShipAvailable
    -0.74
    taboola
    -0.74
    ilation
    -0.72
     Cosponsors
    -0.70
    inventoryQuantity
    -0.67
    vernment
    -0.67
    flation
    -0.66
    glomer
    -0.65
    TN
    -0.63
    riot
    -0.63
    POSITIVE LOGITS
     groundwork
    1.63
     foundations
    1.32
     foundation
    1.15
     cornerstone
    0.97
     roots
    0.89
     ground
    0.84
     asphalt
    0.84
     laure
    0.84
     pavement
    0.82
     bare
    0.79
    Activations Density 0.119%

    No Known Activations