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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. 8968
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    Explanations

    phrases related to taking action or making a change in response to a situation

    oai_token-act-pair · gpt-3.5-turbo

    phrases suggesting action or concern regarding an issue

    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
    Constructed
    -0.71
     Died
    -0.70
     Writ
    -0.64
    emies
    -0.64
    omet
    -0.64
    Creat
    -0.64
    told
    -0.64
     confessed
    -0.63
    authored
    -0.62
    iets
    -0.62
    POSITIVE LOGITS
    erous
    0.83
     administr
    0.75
    isance
    0.72
    arios
    0.71
     redist
    0.69
     behalf
    0.68
     halfway
    0.68
     improving
    0.65
    ILLE
    0.65
     injustice
    0.65
    Activations Density 0.049%

    No Known Activations