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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 19699
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    Explanations

    references to specific events, ceremonies, or locations marked by the term "Memorial"

    oai_token-act-pair · gpt-3.5-turbo

    references to memorials and commemorations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nesses
    -0.86
    liness
    -0.85
    eva
    -0.82
    ihad
    -0.77
    eller
    -0.76
    thing
    -0.75
    lings
    -0.73
    liest
    -0.73
    lements
    -0.73
    lying
    -0.72
    POSITIVE LOGITS
     Coliseum
    1.10
     Memorial
    1.02
     Auditor
    0.97
    iseum
    0.84
    abilia
    0.81
    ysis
    0.80
     Day
    0.78
     Plaza
    0.77
     Lect
    0.77
     Bridge
    0.76
    Activations Density 0.019%

    No Known Activations