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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 cooking techniques, specifically roasting

    oai_token-act-pair · gpt-3.5-turbo

    terms related to cooking techniques, particularly roasting and grilling

    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
    vernment
    -0.83
     Compton
    -0.76
    rx
    -0.73
    xus
    -0.71
     CPS
    -0.68
     sovere
    -0.67
     Vance
    -0.67
     Grayson
    -0.66
     [*
    -0.64
    BLIC
    -0.63
    POSITIVE LOGITS
     turkey
    1.08
     roast
    1.06
     meat
    1.02
     roasted
    0.98
     steak
    0.94
     meats
    0.92
     pork
    0.91
     vegetables
    0.89
     chicken
    0.86
     garlic
    0.85
    Activations Density 0.030%

    No Known Activations