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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. 6-RES-JB
    11. 11918
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    INDEX
    Explanations

    words related to diet and nutrition

    oai_token-act-pair · gpt-3.5-turbo

    references to dietary topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dam
    -0.73
     bidding
    -0.69
     Morse
    -0.67
     Templar
    -0.65
     Receiver
    -0.63
     Moff
    -0.63
     Stra
    -0.62
    Constructed
    -0.61
     Patterson
    -0.61
     Johann
    -0.60
    POSITIVE LOGITS
    etics
    1.17
    eteria
    1.16
    etic
    1.11
    rition
    1.09
     diet
    1.00
    etically
    0.99
    oleon
    0.97
    onut
    0.94
    namese
    0.91
     Coke
    0.90
    Activations Density 0.030%

    No Known Activations