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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. 6-RES-JB
    6. 21933
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    INDEX
    Explanations

    references to specific events or organizations known as memorials

    oai_token-act-pair · gpt-3.5-turbo

    mentions of memorials or commemorative events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nesses
    -0.89
    liness
    -0.86
    eva
    -0.82
    avage
    -0.80
    arers
    -0.74
    eller
    -0.73
    ihad
    -0.72
    lements
    -0.72
    asha
    -0.70
    lings
    -0.70
    POSITIVE LOGITS
     Coliseum
    1.11
     Auditor
    0.97
     Memorial
    0.93
     Toll
    0.82
     Lect
    0.80
     Day
    0.79
     Parkway
    0.78
     Bridge
    0.77
    iseum
    0.77
     Park
    0.77
    Activations Density 0.025%

    No Known Activations