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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. 18170
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    comparisons related to information and services

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "more" in various contexts indicating additional information or content

    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
    agra
    -0.68
    tein
    -0.67
    ufact
    -0.66
    instead
    -0.65
    xtap
    -0.64
    Hol
    -0.61
    Gra
    -0.60
    ãĥ³ãĤ¸
    -0.60
    uclear
    -0.59
    Correction
    -0.59
    POSITIVE LOGITS
     importantly
    1.47
     refined
    0.88
     await
    0.87
     besides
    0.86
     awaits
    0.77
     challeng
    0.76
     goodies
    0.75
     than
    0.75
     broadly
    0.74
     detailed
    0.74
    Activations Density 0.034%

    No Known Activations