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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. 10-RES-JB
    6. 22228
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    INDEX
    Explanations

    references to specific locations/countries

    oai_token-act-pair · gpt-3.5-turbo

    geographical locations and names associated with various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    needed
    -0.68
    ãģį
    -0.65
    acerb
    -0.64
    Adapt
    -0.62
    ential
    -0.62
    cgi
    -0.62
    çĭ
    -0.60
    danger
    -0.59
    bernatorial
    -0.59
    ALD
    -0.59
    POSITIVE LOGITS
     onwards
    1.56
     standpoint
    1.43
     onward
    1.31
     perspective
    1.05
     playbook
    0.96
     sources
    0.96
     vantage
    0.93
     archives
    0.93
     fingertips
    0.81
    ratch
    0.81
    Activations Density 0.583%

    No Known Activations