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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. 0-RES-JB
    11. 5156
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    Explanations

    words related to a specific type of food preparation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to food, specifically indicating dish satisfaction or qualities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     compliment
    -0.67
     ceiling
    -0.65
     valve
    -0.64
     proportional
    -0.63
     rake
    -0.62
     regist
    -0.62
     corridor
    -0.60
     lett
    -0.60
     herald
    -0.60
     Fib
    -0.60
    POSITIVE LOGITS
    uns
    4.73
    un
    1.69
    unn
    1.46
    unt
    1.38
    unning
    1.31
    UN
    1.27
    unc
    1.14
    unks
    1.04
    hots
    1.04
    una
    1.02
    Activations Density 0.011%

    No Known Activations