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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. 24108
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    Explanations

    phrases related to cooking and preparing food

    oai_token-act-pair · gpt-3.5-turbo

    specific food preparation terms

    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
    fman
    -0.68
    ifice
    -0.62
    ullah
    -0.61
     heels
    -0.60
    Downloadha
    -0.60
    arah
    -0.60
    thren
    -0.59
    ovation
    -0.59
    ********************************
    -0.59
    ivating
    -0.59
    POSITIVE LOGITS
     Polit
    0.73
     Supplementary
    0.70
     Innocent
    0.67
     Mit
    0.65
     Sever
    0.65
     Blend
    0.65
     Sev
    0.62
     Affect
    0.62
    lihood
    0.62
     Dyn
    0.60
    Activations Density 0.000%

    No Known Activations