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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. 3-RES-JB
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    Explanations

    words related to food preparation, specifically steaming

    oai_token-act-pair · gpt-3.5-turbo

    references to cooking methods and types of food, particularly those related to steaming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.83
    IFIED
    -0.77
    ortium
    -0.76
     Leban
    -0.74
    oral
    -0.68
    eanor
    -0.67
     performing
    -0.66
    ucket
    -0.66
    Downloadha
    -0.65
    hift
    -0.65
    POSITIVE LOGITS
    ampunk
    0.94
    ese
    0.88
     ste
    0.87
    ste
    0.85
    rers
    0.83
    chnology
    0.83
    aks
    0.82
    amed
    0.82
    achy
    0.82
    uben
    0.81
    Activations Density 0.006%

    No Known Activations