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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. 2-RES-JB
    11. 7628
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    Explanations

    phrases related to cooking techniques or recipes

    oai_token-act-pair · gpt-3.5-turbo

    instances of food preparation and cooking-related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RIPT
    -0.76
    CRIP
    -0.70
    ibl
    -0.68
    wic
    -0.66
    scripts
    -0.66
     chore
    -0.64
    izons
    -0.64
    leck
    -0.63
    oslav
    -0.62
    uese
    -0.62
    POSITIVE LOGITS
     freezing
    0.77
     freezes
    0.71
     Cth
    0.67
     Helsinki
    0.64
    è¦ļéĨĴ
    0.60
     Ãľ
    0.59
     Madagascar
    0.59
     Alps
    0.59
    å
    0.59
     locality
    0.59
    Activations Density 0.000%

    No Known Activations