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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. 11-RES-JB
    11. 9351
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    Explanations

    phrases related to time duration and events happening repeatedly

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating duration or time referenced in a consistent or repeated context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oldown
    -0.68
    inventoryQuantity
    -0.64
     later
    -0.59
     waivers
    -0.59
    orse
    -0.57
     replacements
    -0.57
     exchanges
    -0.57
     pauses
    -0.55
     Votes
    -0.55
     bystanders
    -0.54
    POSITIVE LOGITS
    geoning
    0.67
    hene
    0.59
    kind
    0.56
    ania
    0.55
    um
    0.54
    Nine
    0.54
    bright
    0.53
    ename
    0.53
    htaking
    0.53
     decade
    0.52
    Activations Density 0.153%

    No Known Activations