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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 5457
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    INDEX
    Explanations

    mentions of specific geographical locations or countries

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to products and services from various industries and regions

    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
    acerb
    -0.67
    needed
    -0.66
    inctions
    -0.61
    struction
    -0.58
    ãģį
    -0.58
    ancial
    -0.58
    ential
    -0.58
    Û
    -0.57
    ALD
    -0.57
     requisite
    -0.57
    POSITIVE LOGITS
     standpoint
    1.69
     onwards
    1.55
     onward
    1.29
     vantage
    1.23
     perspective
    1.22
     playbook
    0.97
     sources
    0.93
     archives
    0.90
    ratch
    0.89
     viewpoint
    0.84
    Activations Density 0.717%

    No Known Activations