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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. 5-RES-JB
    6. 1696
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    Explanations

    phrases related to negative events or controversial topics

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "the."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    leeve
    -0.72
    IFA
    -0.67
     ItemLevel
    -0.67
    Slot
    -0.67
    iffe
    -0.65
    click
    -0.65
    cture
    -0.65
    oken
    -0.63
    MK
    -0.62
    *
    -0.62
    POSITIVE LOGITS
     ensuing
    1.35
     resultant
    1.24
     resulting
    1.19
     accompanying
    1.17
     remainder
    1.14
     consequ
    1.12
     slightest
    1.09
     vast
    1.06
     latter
    1.06
     entire
    1.04
    Activations Density 0.307%

    No Known Activations