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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. 5879
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    Explanations

    phrases related to summarizing or encompassing a concept

    oai_token-act-pair · gpt-3.5-turbo

    terms related to encapsulation and accumulation

    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
    Ô
    -0.63
     firsthand
    -0.60
     offender
    -0.59
     attest
    -0.57
     renovations
    -0.57
     opener
    -0.57
    omething
    -0.56
     adaptations
    -0.56
     mustard
    -0.56
    Ĭ±
    -0.54
    POSITIVE LOGITS
    ulation
    2.42
    ulate
    2.36
    ulations
    2.33
    ulates
    2.31
    ulated
    2.31
    ulating
    2.19
    ulatory
    2.14
    ulative
    2.04
    ulator
    1.99
    ulators
    1.94
    Activations Density 0.109%

    No Known Activations