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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. 5378
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    INDEX
    Explanations

    phrases indicating lack of resources or abilities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a lack of resources or capabilities

    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
     aloud
    -0.76
    oche
    -0.73
    aming
    -0.73
    rex
    -0.72
    apor
    -0.70
    opa
    -0.68
    gae
    -0.67
    odge
    -0.65
    haps
    -0.64
    ²¾
    -0.63
    POSITIVE LOGITS
     manpower
    1.14
     capability
    1.05
     expertise
    1.04
     courage
    1.03
     guts
    1.02
     firepower
    1.01
     clout
    1.00
     requisite
    1.00
     capacity
    0.99
     sophistication
    0.99
    Activations Density 0.266%

    No Known Activations