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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. 0-RES-JB
    11. 2249
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    Explanations

    words related to terms of action or process

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of "rationing" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Canary
    -0.72
     WW
    -0.67
     Parad
    -0.62
     Naw
    -0.62
     face
    -0.61
     facing
    -0.61
     Aw
    -0.61
     Kens
    -0.60
     Fri
    -0.59
     Elm
    -0.59
    POSITIVE LOGITS
    ration
    4.61
    rations
    2.89
    rated
    2.50
    rating
    2.47
    rator
    2.06
    rate
    1.96
    rators
    1.90
    rative
    1.85
    rates
    1.81
    rity
    1.51
    Activations Density 0.006%

    No Known Activations