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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. 9-RES-JB
    6. 16150
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    INDEX
    Explanations

    statements of certainty or probability

    oai_token-act-pair · gpt-3.5-turbo

    evaluative phrases that express certainty or uncertainty regarding a subject

    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
     bearer
    -0.65
     Axis
    -0.64
     nexus
    -0.63
     Travels
    -0.62
    pires
    -0.59
    yip
    -0.59
     Recre
    -0.58
     rush
    -0.55
     SAP
    -0.55
     mats
    -0.55
    POSITIVE LOGITS
    nor
    1.15
     neither
    1.06
     certainly
    0.99
    certain
    0.94
    none
    0.92
     nor
    0.90
    Nor
    0.89
    Neither
    0.89
     never
    0.88
     Nor
    0.88
    Activations Density 0.388%

    No Known Activations