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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. 8-RES-JB
    11. 11829
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    Explanations

    specific mentions of physical objects or substances, possibly related to destruction or dangerous situations

    oai_token-act-pair · gpt-3.5-turbo

    specific food or drink items and their associated descriptors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Policies
    -0.72
     Cosponsors
    -0.65
    cipled
    -0.64
    Policy
    -0.62
    inventoryQuantity
    -0.61
     Volunte
    -0.60
     isEnabled
    -0.59
    displayText
    -0.58
    uilding
    -0.57
    oshop
    -0.57
    POSITIVE LOGITS
     dangling
    0.80
    *.
    0.79
    .).
    0.72
     respectively
    0.71
    âĦ¢
    0.70
     protr
    0.70
     ("
    0.69
     deton
    0.68
     insign
    0.68
     payload
    0.68
    Activations Density 0.673%

    No Known Activations