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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. 17571
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    Explanations

    mentions of food-related words, particularly those indicating deliciousness

    oai_token-act-pair · gpt-3.5-turbo

    references to food and cooking, particularly appealing dishes

    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
     cath
    -0.79
    sold
    -0.76
    ãĥĩãĤ£
    -0.72
    åĤ
    -0.71
    izational
    -0.70
    ttle
    -0.69
    GROUND
    -0.67
    walker
    -0.66
    thood
    -0.65
     stances
    -0.65
    POSITIVE LOGITS
     Delicious
    1.01
    ness
    0.82
    avorite
    0.81
    upid
    0.80
    vous
    0.79
    nesses
    0.78
    isine
    0.76
    endish
    0.75
    ery
    0.74
    ï¸
    0.74
    Activations Density 0.028%

    No Known Activations