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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. 17718
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    INDEX
    Explanations

    instances where something is done or said without proper understanding, acknowledgment, emphasizing, or mention

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating lack of understanding or accountability

    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
    moil
    -0.77
     Tickets
    -0.69
    atile
    -0.67
    Tickets
    -0.66
     Devices
    -0.64
    --------------------------------------------------------
    -0.64
    agues
    -0.62
     downed
    -0.61
    accompan
    -0.61
    acion
    -0.61
    POSITIVE LOGITS
     mention
    1.27
     whatsoever
    1.25
     explicitly
    1.08
     factual
    1.01
     actual
    1.01
     nuance
    1.01
     slightest
    1.01
     substantive
    0.99
     coherent
    0.98
     adequately
    0.96
    Activations Density 0.480%

    No Known Activations