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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. 10-RES-JB
    11. 6187
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    INDEX
    Explanations

    phrases related to recommending products or services

    oai_token-act-pair · gpt-3.5-turbo

    expressions of recommendations for products or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    facts
    -0.69
    NetMessage
    -0.66
    ··
    -0.65
     ¶
    -0.61
     gestures
    -0.61
    ãĥ¼ãĤ¯
    -0.60
    atars
    -0.60
    laws
    -0.60
    olving
    -0.60
     umb
    -0.58
    POSITIVE LOGITS
     Recommended
    1.20
     recommend
    1.19
    Recommend
    1.18
     recommended
    1.15
     Recommend
    1.09
     recommendation
    1.07
     recommending
    1.06
     underrated
    0.97
    recomm
    0.97
     Definitely
    0.95
    Activations Density 0.303%

    No Known Activations