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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. 2067
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    Explanations

    phrases related to individuals or sources with knowledge or familiarity with a specific topic

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or groups with knowledge of a situation or event

    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
    idia
    -0.65
    oreal
    -0.64
    Abstract
    -0.64
     born
    -0.63
     unworthy
    -0.61
    ractor
    -0.60
    rouse
    -0.60
    idepress
    -0.60
     secondly
    -0.59
    usercontent
    -0.59
    POSITIVE LOGITS
     discussions
    1.16
     negotiations
    1.14
     deliberations
    1.11
     conversations
    1.04
     dealings
    1.00
     developments
    0.93
     workings
    0.91
     arrangements
    0.90
     preparations
    0.90
     internal
    0.85
    Activations Density 0.121%

    No Known Activations