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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. 6-RES-JB
    11. 2873
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    INDEX
    Explanations

    mentions of technology and legal cases or trials

    oai_token-act-pair · gpt-3.5-turbo

    negative associations or implications related to technology and health

    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
     Moody
    -0.78
     FML
    -0.78
     Elm
    -0.76
     Farrell
    -0.74
     Levi
    -0.74
     Norris
    -0.73
     Chiefs
    -0.73
     Hanna
    -0.73
     Dickinson
    -0.72
     Grimes
    -0.72
    POSITIVE LOGITS
    related
    1.46
    centric
    1.39
    themed
    1.37
    based
    1.34
    derived
    1.33
    induced
    1.31
    loving
    1.26
    specific
    1.26
    inspired
    1.24
    style
    1.21
    Activations Density 0.128%

    No Known Activations